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Accenture
  • San Diego, CA
Organization: Accenture Applied Intelligence
Position: Artificial Intelligence Engineer - Consultant
The digital revolution is changing everything. Its everywhere transforming how we work and play. Accenture Digitals 36,000 professionals are driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. At the forefront of digital, youll create it, own it and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises. Join us and become an integral part of our experienced digital team with the credibility, expertise and insight clients depend on.
Accenture Applied Intelligence, part of Accenture Digital, helps clients to use analytics and artificial intelligence to drive actionable insights, at scale. We apply sophisticated algorithms, data engineering and visualization to extract business insights and help clients turn those insights into actions that drive tangible outcomesto improve their performance and disrupt their markets. Accenture Applied Intelligence is a leader in big data analytics, with deep industry and technical experience. We provide services and solutions that include Analytics Advisory, Data Science, Data Engineering and Analytics-as-a-Service.
Role Description
As an AI engineer, you will facilitate the transfer of advanced AI technologies from the research labs to the domain testbeds and thus the real world. You will participate in the full research to deployment pipeline. You will help conceptualize and develop research experiments, and then implement the systems to execution these experiments. You will lead or work with a team and interact closely with deep experience machine learning engineering and research and the industry partners. You will attend reading groups and seminars, master research techniques and engineering practices, and design research tools and experimental testbeds. You will apply state-of-the-art AI algorithms, explore new solutions, and build working prototypes. You will also learn to deploy the systems and solutions at scale.
Responsibilities
    • Use Deep Learning and Machine Learning to create scalable solutions for business problems.
    • Deliver Deep Learning/Machine Learning projects from beginning to end, including business understanding, data aggregation, data exploration, model building, validation and deployment.
    • Define Architecture Reference Assets - Apply Accenture methodology, Accenture reusable assets, and previous work experience to delivery consistently high quality work. Deliver written or oral status reports regularly. Stay educated on new and emerging market offerings that may be of interest to our clients. Adapt to existing methods and procedures to create possible alternative solutions to moderately complex problems
    • Work hands on to demonstrate and prototype integrations in customer environments. Primary upward interaction is with direct supervisor. May interact with peers and/or management levels at a client and/or within Accenture.
    • Solution and Proposal Alignment - Through a formal sales process, work with the Sales team to identify and qualify opportunities. Conduct full technical discovery, identifying pain points, business and technical requirements, as is and to be scenarios.
    • Understand the strategic direction set by senior management as it relates to team goals. Use considerable judgment to define solution and seeks guidance on complex problems.
Qualifications
    • Bachelors degree in AI, Computer Science, Engineering, Statistics, Physics.
    • Minimum of 1 year of experience in production deployed solutions using artificial intelligence or machine learning techniques.
    • Minimum of 1 years previous consulting or client service delivery experience
    • Minimum of 2 years of experience with system integration architectures, private and public cloud architectures, pros/cons, transformation experience
    • Minimum of 1 year of full lifecycle deployment experience
Preferred Skills
    • Masters or PhD in Analytics, Statistic or other quantitative disciplines
    • Deep learning architectures: convolutional, recurrent, autoencoders, GANs, ResNets
    • Experience in Cognitive tools like Microsoft Bot Framework & Cognitive Services, IBM Watson, Amazon AI services
    • Deep understanding of Data structures and Algorithms
    • Deep experience in Python, C# (.NET), Scala
    • Deep knowledge with MxNet, CNTK, R, H20, TensorFlow, PyTorch
    • Highly desirable to have experience in: cuDNN, NumPY, SciPy
Professional Skill Requirements
    • Recent success in contributing to a team-oriented environment
    • Proven ability to work creatively and analytically in a problem-solving environment
    • Excellent communication (written and oral) and interpersonal skills
    • Demonstrated leadership in professional setting; either military or civilian
    • Demonstrated teamwork and collaboration in a professional setting; either military or civilian
    • Ability to travel extensively
OUR COMMITMENT TO YOU
    • Your entrepreneurial spirit and vision will be rewarded, and your success will fuel opportunities for career advancement.
    • You will make a difference for some pretty impressive clients. Accenture serves 94 of the Fortune Global 100 and more than 80 percent of the Fortune Global 500.
    • You will be an integral part of a market-leading analytics organization, including the largest and most diversified group of digital, technology, business process and outsourcing professionals in the world. You can leverage our global team to support analytics innovation workshops, rapid capability development, enablement and managed services.
    • You will have access to Accentures deep industry and functional expertise. We operate across more than 40 industries and have hundreds of offerings addressing key business and technology issues. Through our global network, we bring unparalleled experience and comprehensive capabilities across industries and business functions, and extensive research on the worlds most successful companies. You will also be able to tap into the continuous innovation of our Accenture Technology Labs and Innovation Centers, as well as top universities such as MIT through our academic alliance program.
    • You will have access to distinctive analytics assets that we use to accelerate delivering value to our clients including more than 550 analytics assets underpinned by a strong information management and BI technology foundation. Accenture has earned more than 475 patents and patents pending globally for software assets, data- and analytic-related methodologies and content.
    • As the worlds largest independent technology services provider, we are agnostic about technology but have very clear viewpoints about what is most appropriate for a clients particular challenge. You will have access to our alliances with market-leading technology providers and collaborative relationships with emerging players in the analytics and big data spacethe widest ecosystem in the industry. These alliances bring together Accentures extensive analytics capabilities and alliance providers technology, experience and innovation to power analytics-based solutions.
    • You will have access to the best talent. Accenture has a team of more than 36,000 digital professionals including technical architects, big data engineers, data scientists and business analysts, as well as user digital strategists and experience designers.
    • Along with a competitive salary, Accenture offers a comprehensive package that includes generous paid time off, 401K match and an employee healthcare plan. Learn more about our extensive rewards and benefits here: Benefits .
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Recursion
  • Salt Lake City, UT

At Recursion we combine experimental biology, automation, and artificial intelligence to quickly and efficiently identify treatments for human diseases. We’re transforming drug discovery into a data science problem and to do that we’re building a platform for rapid biological experimentation, data generation, automated analysis, model training, and prediction.


THE PROBLEMS YOU’LL SOLVE


As a Machine Learning Engineer, you'll report to the VP of Engineering and will work with others on the data, machine learning, and engineering teams to build the infrastructure and systems to enable both ML prototyping and production grade deployment of ML solutions that lift our drug discovery platform to new levels of effectiveness and efficiency. We are looking for experienced Machine Learning Engineers who value experimentation and the rigorous use of the scientific method, high collaboration across multiple functions, and intense curiosity driving them to keep our systems cutting edge. In this role you will:



  • Build, scale, and operate compute clusters for deep learning.You’ll be a part of a team responsible for the ML infrastructure, whether that be large-scale on-prem GPU clusters or cloud-based TPU pods.

  • Create a world-class ML research platform.You’ll work with Data Scientists, ML Researchers, and Systems and Data Engineers to create an ML platform that allows them to efficiently prepare hundreds of terabytes of data for training and processing, train cutting-edge deep learning models, backtest them on thousands of past experiments, and deploy working solutions to production. Examples of ML platforms like this are Uber’s Michelangelo and Facebook’s FBLearner Flow.

  • Be a mentor to peers. You will share your technical knowledge and experiences, resulting in an increase in their productivity and effectiveness.


THE EXPERIENCE YOU’LL NEED



  • An ability to be resourceful and collaborative in order to complete large projects. You’ll be working cross-functionally to build these systems and must always have the end (internal) user in mind.

  • Experience implementing, training, and evaluating deep learning models using modern ML frameworks through collaboration with others, reading of ML papers, or primary research.

  • A demonstration of accelerating ML research efforts through improved systems, processes and frameworks.

  • A track record of learning new technologies as needed to get things done. Our current tech stack uses Python and the pydata libraries, TensorFlow, Keras, Kubernetes + Docker, Big Query, and other cloud services provided by Google Cloud Platform.

  • Biology background is not necessary, but intellectual curiosity is a must!


THE PERKS YOU’LL ENJOY



  • Coverage of health, vision, and dental insurance premiums (in most cases 100%)

  • 401(k) with generous matching (immediate vesting)

  • Stock option grants

  • Two one-week paid company closures (summer and winter) in addition to flexible, generous vacation/sick leave

  • Commuter benefit and vehicle parking to ease your commute

  • Complimentary chef-prepared lunches and well-stocked snack bars

  • Generous paid parental leave for birth, non-birth, and adoptive parents

  • Fully-paid gym membership to Metro Fitness, located just feet away from our new headquarters

  • Gleaming new 100,000 square foot headquarters complete with a 70-foot climbing wall, showers, lockers, and bike parking



WHAT WE DO


We have raised over $80M to apply machine learning to one of the most unique datasets in existence - over a petabyte of imaging data spanning more than 10 billion cells treated with hundreds of thousands of different biological and chemical perturbations, generated in our own labs - in order to find treatments for hundreds of diseases. Our long term mission is to decode biology to radically improve lives and we want to understand biology so well that we can fix most things that go wrong in our bodies. Our data scientists, machine learning researchers and engineers work on some of the most challenging and interesting problems in computational drug discovery, and collaborate with some of the brightest minds in the deep learning community (Yoshua Bengio is one of our advisors), who help our machine learning team design novel ways of tackling these problems.



Recursion is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Recursion strictly prohibits and does not tolerate discrimination against applicants because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, pregnancy, gender (including gender nonconformity and status as a transgender individual), age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, or any other characteristic protected under applicable federal, state, or local law.

Avaloq Evolution AG
  • Zürich, Switzerland

The position


Are you passionate about data? Are you interested in shaping the next generation of data science driven products for the financial industry? Do you enjoy working in an agile environment involving multiple stakeholders?

A challenging role as Senior Data Scientist in a demanding, dynamic and international software company using the latest innovations in predictive analytics and visualization techniques. You will be driving the creation of statistical and machine learning models from prototyping until the final deployment.

We want you to help us to strengthen and further develop the transformation of Avaloq to a data driven product company. Make analytics scalable and accelerate the process of data science innovation.





Your profile


  • PhD or Master degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field

  • 5+ years of experience in Statistical Modelling, Anomaly Detection, Machine Learning algorithms both Supervised and Unsupervised

  • Proven experience in applying data science methods to business problems

  • Ability to explain complex analytical concepts to people from other fields

  • Proficiency in at least one of the following: Python, R, Java/Scala, SQL and/or SAS

  • Knowledgeable with BigData technologies and architectures (e.g. Hadoop, Spark, stream processing)

  • Expertise in text mining and natural language processing is a strong plus

  • Familiarity with network analysis and/or graph databases is a plus

  • High integrity, responsibility and confidentiality a requirement for dealing with sensitive data

  • Strong presentation and communication skills

  • Experience in leading teams and mentoring others

  • Good planning and organisational skills

  • Collaborative mindset to sharing ideas and finding solutions

  • Experience in the financial industry is a strong plus

  • Fluent in English; German, Italian and French a plus



Professional requirements




  • Use machine learning tools and statistical techniques to produce solutions for customer demands and complex problems

  • Participate in pre-sales and pre-project analysis to develop prototypes and proof-of-concepts

  • Analyse customer behaviour and needs enabling customer-centric product development

  • Liaise and coordinate with internal infrastructure and architecture team regarding setting up and running a BigData & Analytics platform

  • Strengthen data science within Avaloq and establish a data science centre of expertise

  • Look for opportunities to use insights/datasets/code/models across other functions in Avaloq



Main place of work
Zurich

Contact
Avaloq Evolution AG
Alina Tauscher, Talent Acquisition Professional
Allmendstrasse 140 - 8027 Zürich - Switzerland

careers@avaloq.com
www.avaloq.com/en/open-positions

Please only apply online.

Note to Agencies: All unsolicited résumés will be considered direct applicants and no referral fee will be acknowledged.
Avaloq Evolution AG
  • Zürich, Switzerland

The position


Are you passionate about digital technology and how it can be used to create a seamless digital customer experience? Do you enjoy engaging with clients and stakeholders to shape the next generation of banking applications? Do you thrive when challenged to design solutions using cutting-edge artificial intelligence (AI)/machine learning (ML), data and digital technologies?

As Digital and AI Consultant, you will play a key role in driving Avaloq’s digital and AI agenda to write the future of banking by identifying, designing and advocating state-of-the-art financial solutions which include components across the AI/ML, data and digital technology spectrum. You will use your extensive expertise in AI/ML, data and digital technologies to contribute to a seamless digital customer experience across Avaloq’s products and services, closely collaborating with clients and stakeholders across Avaloq on senior management and operational level. A balanced mix of strategic and analytical capabilities as well as a hands-on attitude are key for the success of the role.


Your responsibilities


  • Proactively identify opportunities and use cases for the financial industry liaising with relevant stakeholders and develop solution concepts using elements across the Data, Artificial Intelligence/ML and digital technology spectrum

  • Identify AI capabilities that should be delivered through strategic partners/vendors and liaise with them to assess opportunities for collaboration

  • Provide leadership and best practices around AI/ML and digital capabilities and methods to support the realisation of business initiatives

  • Liaise with relevant stakeholders to define and drive Avaloq`s digital strategy and roadmap

  • Support the development of prototypes and proof-of-concepts contributing to a seamless digital customer experience of Avaloq`s products and services

  • Teach and mentor colleagues in the use of AI, machine learning, data and new technologies




Skills and qualifications


  • Master’s degree in Computer Science, Maths, Artificial Intelligence or a related discipline

  • 5+ years of relevant work experience, with a focus on AI/ML, data and digital technologies

  • Experience in collaborating with senior leadership, clients, business and IT

  • Strong client-centric mindset and a high level of business acumen

  • Proven experience in applying AI/ML, data and digital technology methods to business problems

  • Good working knowledge of AI/ML, data and digital technologies, e.g. predictive analytics, recommender systems, deep learning, NLP, image recognition and blockchain

  • Good understanding of technological enablers (e.g. API technology) for creating a seamless digital customer experience

  • Strong oral, written and presentation skills

  • Excellent organizational and problem-solving skills

  • Experience with AI/ML platforms and frameworks, e.g. AWS, Watson, Tensorflow, Keras, Pytorch, Caffe, etc. is a plus

  • Practical experience with digital and big data technologies (e.g. smart contracts, cryptocurrencies, IoT, RPA, Hadoop) is a plus

  • Work experience in the financial industry or in financial/technology consulting is a plus

  • Fluent in German and English





Main place of work
Zurich

Contact
Avaloq Evolution AG
Anna Drozdowska, Talent Acquisition Professional
Allmendstrasse 140 - 8027 Zürich - Switzerland

www.avaloq.com/en/open-positions

Please only apply online.

Note to Agencies: All unsolicited résumés will be considered direct applicants and no referral fee will be acknowledged.

Accenture
  • San Diego, CA
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture, and make delivering innovative work part of your extraordinary career.
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a highly collaborative and growing network of technology and data experts, who are taking on todays biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture!
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward.
Business & Technology Integration professionals advise upon, design, develop and/or deliver technology solutions that support best practice business changes
The Bus&Industry Integration Assoc Mgr aligning technology with business strategy and goals they working directly with the client gathering requirements to analyze, design and/or implement technology best practice business changes. They are sought out as experts internally and externally for their deep functional or industry expertise, domain knowledge, or offering expertise. They enhance Accenture's marketplace reputation.
Job Description
Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.
Data Management professionals define strategies and develop/deliver solutions and processes for managing enterprise-wide data throughout the data lifecycle from capture to processing to usage across all layers of the application architecture.
A professional at this position level within Accenture has the following responsibilities:
Identifies, assesses and solves complex business problems for area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors.
Closely follows the strategic direction set by senior management when establishing near term goals.
Interacts with senior management at a client and/or within Accentureon matters where they may need to gain acceptance on an alternate approach.
Has some latitude in decision-making. Acts independently to determine methods and procedures on new assignments.
Decisions have a major day to day impact on area of responsibility.
Manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.
Basic Qualifications
    • Minimum of 3 plus years of hands-on technical experience implementing Big Data solutions utilizing Hadoop or other Data Science and Analytics platforms.
    • Minimum of 3 plus years of experience with a full life cycle development from functional design to deployment
    • Minimum 2 plus years of hands-on technical experience with delivering Big Data Solutions in the cloud with AWS or Azure
    • Minimum 3 plus years of hands-on technical experience in developing solutions utilizing at least two of the following:
    • Kafka based streaming services
    • R Studio
    • Cassandra , MongoDB
    • MapReduce, Pig, Hive
    • Scala, Spark
    • knowledge on Jenkins, Chef, Puppet
  • Bachelor's degree or equivalent years of work experience
  • Ability to travel 100%, Monday- Thursday
Professional Skill Requirements
    • Proven ability to build, manage and foster a team-oriented environment
    • Proven ability to work creatively and analytically in a problem-solving environment
    • Desire to work in an information systems environment
    • Excellent communication (written and oral) and interpersonal skills
    • Excellent leadership and management skills
All of our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is a federal contractor and an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
GeoPhy
  • New York, NY

We're already working with some of the largest real estate lenders and investors across the globe, and we believe that our AVM will truly disrupt the commercial real estate industry.  Using your machine learning and analytical skills, you will contribute to the development of GeoPhy's core information products. This includes working on the development of our flagship product, the Automated Valuation Model (AVM) that we've developed for the commercial real estate market.



What you'll be responsible for



  • Developing and maintaining predictive valuation algorithms for the commercial real estate market, based on stochastic modeling

  • Identifying and analyzing new data sources to improve model accuracy, closely working with our data sourcing teams

  • Conducting statistical analysis to identify patterns and insights, and process and feature engineer data as needed to support model development and business products

  • Bringing models to production, in collaboration with the development and data engineering teams 

  • Supporting data sourcing strategy and the validation of related infrastructure and technology

  • Contributing to the development of methods in data data science, including: statistical analysis and model development related to real estate, economics, the built environment, or financial markets



What we're looking for



  • Creative and intellectually curious with hands-on experience as a data scientist

  • Flexible, resourceful, and a reliable team player

  • Rigorous analyst, critical thinker, and problem solver with experience in hypothesis testing and experimental design

  • Excellent at communicating, including technical documentation and presenting work across a variety of audiences

  • Experienced working with disparate data sources and the engineering and statistical challenges that presents, particularly with time series, socio-economic-demographic (SED) data, and/or geo-spatial data

  • Strong at data exploration and visualization

  • Experienced implementing predictive models across a full suite of statistical learning algorithms (regression/classification, unsupervised/semi-supervised/supervised)

  • Proficient in Python or R as well as critical scientific and numeric programming packages and tools

  • Intermediate knowledge of SQL

  • Full working proficiency in English

  • An MSc/PhD degree in Computer Science, Mathematics, Statistics or a related subject, or commensurate technical experience



Bonus points for



  • International mind set

  • Experience in an Agile organization

  • Knowledge or experience with global real estate or financial markets

  • Experience with complex data and computing architectures, including cloud services and distributed computing

  • Direct experience implementing models in production or delivering a data product to market



What’s in it for you?



  • You will have the opportunity to accelerate our rapidly growing organisation.

  • We're a lean team, so your impact will be felt immediately.

  • Personal learning budget.

  • Agile working environment with flexible working hours and location.

  • No annual leave allowance; take time off whenever you need.

  • We embrace diversity and foster inclusion. This means we have a zero-tolerance policy towards discrimination,

  • GeoPhy is a family and pet friendly company.

  • Get involved in board games, books, and lego.

Coolblue
  • Rotterdam, Netherlands
As an Advanced Data Analyst / Data Scientist you use the data of millions of visitors to help Coolblue act smarter.

Pros and cons

  • Youre going to be working as a true Data Scientist. One who understands why you get the results that you do and apply this information to other experiments.
  • Youre able to use the right tools for every job.
  • Your job starts with a problem and ends with you monitoring your own solution.
  • You have to crawl underneath the foosball table when you lose a game.

Description Data Scientist

Your challenge in this sprint is improving the weekly sales forecasting models for the Christmas period. Your cross-validation strategy is ready, but before you can begin, you have to query the data from our systems and process them in a way that allows you to view the situation with clarity.

First, you have a meeting with Matthias, whos worked on this problem before. During your meeting, you conclude that Christmas has a non-linear effect on sales.  Thats why you decide to experiment with a multiplicative XGBoost in addition to your Regularised-Regression model. You make a grid with various features and parameters for both models and analyze the effects of both approaches. You notice your Regression is overfitting, which means XGBoost isnt performing and the forecast isnt high enough, so you increase the regularization and appoint the Christmas features to XGBoost alone.

Nice! You improved the precision of the Christmas forecast with an average of 2%. This will only yield results once the algorithm has been implemented, so you start thinking about how you want to implement this.

Your specifications

  • You have at least 4 years of experience in a similar function.
  • You have a university degree, MSC, or PHD in Mathematics, Computer Science, or Statistics.
  • You have experience with Machine Learning techniques, such as Gradient Boosting, Random Forest, and Neutral Networks, and you have proven experience with successfully applying these (or similar) techniques in a business environment.
  • You have some experience with Data mining, SQL, BigQuery, NoSQL, R, and monitoring.
  • You're highly knowledgeable about Python.
  • You have experience with Big Data technologies, such as Spark and Hadoop.

Included by default.

  • Money.
  • Travel allowance and a retirement plan.
  • 25 leave days. As long as you promise to come back.
  • A discount on all our products.
  • A picture-perfect office at a great location. You could crawl to work from Rotterdam Central Station. Though we recommend just walking for 2 minutes.
  • A horizontal organisation in the broadest sense. You could just go and have a beer with the boss.

Review



'I believe I'm working in a great team of enthusiastic and smart people, with a good mix of juniors and seniors. The projects that we work on are very interesting and diverse, think of marketing, pricing and recommender systems. For each project we try to use the latest research and machine learning techniques in order to create the best solutions. I like that we are involved in the projects start to end, from researching the problem to experimenting, to putting it in production, and to creating the monitoring dashboards and delivering the outputs on a daily basis to our stakeholders. The work environment is open, relaxed and especially fun'
- Cheryl Zandvliet, Data Scientist
ConocoPhillips
  • Houston, TX
Our Company
ConocoPhillips is the worlds largest independent E&P company based on production and proved reserves. Headquartered in Houston, Texas, ConocoPhillips had operations and activities in 17 countries, $71 billion of total assets, and approximately 11,100 employees as of Sept. 30, 2018. Production excluding Libya averaged 1,221 MBOED for the nine months ended Sept. 30, 2018, and proved reserves were 5.0 billion BOE as of Dec. 31, 2017.
Employees across the globe focus on fulfilling our core SPIRIT Values of safety, people, integrity, responsibility, innovation and teamwork. And we apply the characteristics that define leadership excellence in how we engage each other, collaborate with our teams, and drive the business.
Description
The purpose of this role is to enable and support Citizen Data Scientists (CDS) to develop analytical workflows and to manage the adoption and implementation of the latest innovations within the ConocoPhillips preferred analytics tools for Citizen Data Science.
This position will enable analytics tools and solutions for customers including; the facilitation of solution roadmap, the adoption of new analytics functionality, the integration between applications based on value driven workflows, the support and training of users on the new capabilities.
Responsibilities May Include
  • Work with customers to enable the latest data analytics capabilities
  • Understand and help implement the latest innovations available within ConocoPhillips preferred analytics platform including Spotfire, Statistica, ArcGIS Big Data (Spatial Analytics), Teradata and Python
  • Help users with the implementation of analytics workflows through integration of the analytics applications
  • Manage analytics solutions roadmap and implementation timeline enabling geoscience customers to take advantage of the latest features or new functionality
  • Communicate with vendors and COP community on analytics technology functionality upgrades, prioritized enhancements and adoption
  • Test and verify that existing analytics workflows are supported within the latest version of the technology
  • Guide users on how to enhance their current workflows with the latest analytics technology
  • Facilitate problem solving with analytics solutions
  • Work with other AICOE teams to validate and implement new technology or version upgrades into production
Specific Responsibilities May Include
    Provi
    • de architectural guidance for building integrated analytical solutions Under
    • stands analytics product roadmaps, product development and the implementation of new featuresPromo
    • tes new analytics product features within customer base and demonstrates how it enables analytics workflowsManag
    • e COP analytics product adoption roadmapCaptu
    • re product enhancement list and coordinate prioritization with the vendorTest
    • new capabilities and map them to COP business workflowsCoord
    • inate with the AICOE team the timely upgrades of the new features Provi
    • des support to CDS for:
    • analytics modelling best practices
    • know how implementation of analytics workflows based on new technology
  • Liaise with the AICOE Infrastructure team for timely technology upgrades
  • Work on day to day end user support activities for Citizen Data Science tools; Advanced Spotfire, Statistica, GIS Big Data
  • Provides technical consulting and guidance to Citizen Data Scientist for the design and development of complex analytics workflows
  • Communicates analytics technology roadmap to end users
  • Communicates and demonstrates the value of new features to COP business
  • Train and mentor Citizen Data Science on analytics solutions
Basic/Required
  • Legally authorized to work in the United States
  • Bachelor's degree in Information Technology, Computer Sciences, Geoscience, Engineering, Statistics or related field
  • 5+ years of experience in oil & gas and geoscience data and workflows
  • 3+ years of experience with Tibco Spotfire
  • 3+ years of experience Teradata or using SQL databases
  • 1+ years of experience with ArcGIS spatial analytics tools
  • Advanced knowledge and experience of Integration platform
Preferred
  • Masters degree in Analytics or related field
  • 1+ years of experience with Tibco Statistica or equivalent statistics-based analytics package
  • Prior experience in implementing and supporting visual, prescriptive and predictive analytics
  • In-depth understanding of the analytics applications and integration points
  • Experience implementing data science workflows in Oil & Gas
  • Takes ownership of actions and follows through on commitments by courageously dealing with important problems, holding others accountable, and standing up for what is right
  • Delivers results through realistic planning to accomplish goals
  • Generates effective solutions based on available information and makes timely decisions that are safe and ethical
To be considered for this position you must complete the entire application process, which includes answering all prescreening questions and providing your eSignature on or before the requisition closing date of February 27, 2019.
Candidates for this U.S. position must be a U.S. citizen or national, or an alien admitted as permanent resident, refugee, asylee or temporary resident under 8 U.S.C. 1160(a) or 1255(a) (1). Individuals with temporary visas such as A, B, C, D, E, F, G, H, I, J, L, M, NATO, O, P, Q, R or TN or who need sponsorship for work authorization in the United States now or in the future, are not eligible for hire.
ConocoPhillips is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, gender identity or expression, genetic information or any other legally protected status.
Job Function
Information Management-Information Technology
Job Level
Individual Contributor/Staff Level
Primary Location
NORTH AMERICA-USA-TEXAS-HOUSTON
Organization
ANALYTICS INNOVATION
Line of Business
Corporate Staffs
Job Posting
Feb 13, 2019, 4:51:37 PM
Accenture
  • Atlanta, GA
Are you ready to step up to the New and take your technology expertise to the next level?
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a highly collaborative and growing network of technology and data experts, who are taking on todays biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture!
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture, and make delivering innovative work part of your extraordinary career.
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward.
As part of our Advanced Technology & Architecture (AT&A) practice, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology experts who are highly collaborative taking on todays biggest, most complex business challenges. We will nurture your talent in an inclusive culture that values diversity. Come grow your career in technology at Accenture!
Job Description
Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.
    • Produce clean, standards based, modern code with an emphasis on advocacy toward end-users to produce high quality software designs that are well-documented.
    • Demonstrate an understanding of technology and digital frameworks in the context of data integration.
    • Ensure code and design quality through the execution of test plans and assist in development of standards, methodology and repeatable processes, working closely with internal and external design, business, and technical counterparts.
Big Data professionals develop deep next generation Analytics skills to support Accenture's data and analytics agendas, including skills such as Data Modeling, Business Intelligence, and Data Management.
A professional at this position level within Accenture has the following responsibilities:
    • Utilizes existing methods and procedures to create designs within the proposed solution to solve business problems.
    • Understands the strategic direction set by senior management as it relates to team goals.
    • Contributes to design of solution, executes development of design, and seeks guidance on complex technical challenges where necessary.
    • Primary upward interaction is with direct supervisor.
    • May interact with peers, client counterparts and/or management levels within Accenture.
    • Understands methods and procedures on new assignments and executes deliverables with guidance as needed.
    • May interact with peers and/or management levels at a client and/or within Accenture.
    • Determines methods and procedures on new assignments with guidance .
    • Decisions often impact the team in which they reside.
    • Manages small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.
Basic Qualifications
    • Minimum 2 plus years of hands-on technical experience implementing or supporting Big Data solutions utilizing Hadoop.
      Expe
    • rience developing solutions utilizing at least two of the following: Kaf
        k
      • a based streaming services
      • R Studio
      • Cassandra, MongoDB
      • MapReduce, Pig, Hive
      • Scala, Spark
      • Knowledge on Jenkins, Chef, Puppet
Preferred Qualifications
    • Hands-on technical experience utilizing Python
    • Full life cycle development experience
    • Experience with delivering Big Data Solutions in the cloud with AWS or Azure
    • Ability to configure and support API and OpenSource integrations
    • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
    • Experience with DevOps support
    • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is a Federal Contractor and an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Accenture
  • Raleigh, NC
Are you ready to step up to the New and take your technology expertise to the next level?
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a highly collaborative and growing network of technology and data experts, who are taking on todays biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture!
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture, and make delivering innovative work part of your extraordinary career.
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward.
As part of our Advanced Technology & Architecture (AT&A) practice, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology experts who are highly collaborative taking on todays biggest, most complex business challenges. We will nurture your talent in an inclusive culture that values diversity. Come grow your career in technology at Accenture!
Job Description
Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.
    • Produce clean, standards based, modern code with an emphasis on advocacy toward end-users to produce high quality software designs that are well-documented.
    • Demonstrate an understanding of technology and digital frameworks in the context of data integration.
    • Ensure code and design quality through the execution of test plans and assist in development of standards, methodology and repeatable processes, working closely with internal and external design, business, and technical counterparts.
Big Data professionals develop deep next generation Analytics skills to support Accenture's data and analytics agendas, including skills such as Data Modeling, Business Intelligence, and Data Management.
A professional at this position level within Accenture has the following responsibilities:
    • Utilizes existing methods and procedures to create designs within the proposed solution to solve business problems.
    • Understands the strategic direction set by senior management as it relates to team goals.
    • Contributes to design of solution, executes development of design, and seeks guidance on complex technical challenges where necessary.
    • Primary upward interaction is with direct supervisor.
    • May interact with peers, client counterparts and/or management levels within Accenture.
    • Understands methods and procedures on new assignments and executes deliverables with guidance as needed.
    • May interact with peers and/or management levels at a client and/or within Accenture.
    • Determines methods and procedures on new assignments with guidance .
    • Decisions often impact the team in which they reside.
    • Manages small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.
Basic Qualifications
    • Minimum 2 plus years of hands-on technical experience implementing or supporting Big Data solutions utilizing Hadoop.
      Expe
    • rience developing solutions utilizing at least two of the following: Kaf
        k
      • a based streaming services
      • R Studio
      • Cassandra, MongoDB
      • MapReduce, Pig, Hive
      • Scala, Spark
      • Knowledge on Jenkins, Chef, Puppet
Preferred Qualifications
    • Hands-on technical experience utilizing Python
    • Full life cycle development experience
    • Experience with delivering Big Data Solutions in the cloud with AWS or Azure
    • Ability to configure and support API and OpenSource integrations
    • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
    • Experience with DevOps support
    • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is a Federal Contractor and an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
State Farm
  • Atlanta, GA

WHAT ARE THE DUTIES AND RESPONSIBILITIES OF THIS POSITION?

    Perfo
    • rms improved visual representation of data to allow clearer communication, viewer engagement and faster/better decision-making Inves
    • tigates, recommends, and initiates acquisition of new data resources from internal and external sources Works
    • with IT teams to support data collection, integration, and retention requirements based on business need Ident
    • ifies critical and emerging technologies that will support and extend quantitative analytic capabilities Manag
    • es work efforts which require the use of sophisticated project planning techniques Appli
    • es a wide application of complex principles, theories and concepts in a specific field to provide solutions to a wide range of difficult problems Devel
    • ops and maintains an effective network of both scientific and business contacts/knowledge obtaining relevant information and intelligence around the market and emergent opportunities Contr
    • ibutes data to State Farm's internal and external publications, write articles for leading journals and participate in academic and industry conferences
    • Collaborates with business subject matter experts to select relevant sources of information
    • Develop breadth of knowledge in programming (R, Python), Descriptive, Inferential, and Experimental Design statistics, advanced mathematics, and database functionality (SQL, Hadoop)
    • Develop expertise with multiple machine learning algorithms and data science techniques, such as exploratory data analysis, generative and discriminative predictive modeling, graph theory, recommender systems, text analytics, computer vision, deep learning, optimization and validation
    • Develop expertise with State Farm datasets, data repositories, and data movement processes
    • Assists on projects/requests and may lead specific tasks within the project scope
    • Prepares and manipulates data for use in development of statistical models
    • Develops fundamental understanding of insurance and financial services operations and uses this knowledge in decision making


Additional Details:

For over 95 years, data has been key to State Farm.  As a member of our data science team with the Enterprise Data & Analytics department under our Chief Data & Analytics Officer, you will work across the organization to solve business problems and help achieve business strategies.  You will employ sophisticated, statistical approaches and state of the art technology.  You will build and refine our tools/techniques and engage w/internal stakeholders across the organization to improve our products & services.


Implementing solutions is critical for success. You will do problem identification, solution proposal & presentation to a wide variety of management & technical audiences. This challenging career requires you to work on multiple concurrent projects in a community setting, developing yourself and others, and advancing data science both at State Farm and externally.


Skills & Professional Experience

·        Develop hypotheses, design experiments, and test feasibility of proposed actions to determine probable outcomes using a variety of tools & technologies

·        Masters, other advanced degrees, or five years experience in an analytical field such as data science quantitative marketing, statistics, operations research, management science, industrial engineering, economics, etc. or equivalent practical experience preferred.

·        Experience with SQL, Python, R, Java, SAS or MapReduce, SPARK

·        Experience with unstructured data sets: text analytics, image recognition etc.

·        Experience working w/numerous large data sets/data warehouses & ability to pull from such data sets using relevant programs & coding including files, RDBMS & Hadoop based storage systems

·        Knowledge in machine learning methods including at least one of the following: Time series analysis, Hierarchical Bayes; or learning techniques such as Decision Trees, Boosting, Random Forests.

·        Excellent communication skills and the ability to manage multiple diverse stakeholders across businesses & leadership levels.

·        Exercise sound judgment to diagnose & resolve problems within area of expertise

·        Familiarity with CI/CD development methods, Git and Docker a plus


Multiple location opportunity. Locations offered are: Atlanta, GA, Bloomington, IL, Dallas, TX and Phoenix, AZ


Remote work option is not available.


There is no sponsorship for an employment visa for the position at this time.


Competencies desired:
Critical Thinking
Leadership
Initiative
Resourcefulness
Relationship Building
State Farm
  • Dallas, TX

WHAT ARE THE DUTIES AND RESPONSIBILITIES OF THIS POSITION?

    Perfo
    • rms improved visual representation of data to allow clearer communication, viewer engagement and faster/better decision-making Inves
    • tigates, recommends, and initiates acquisition of new data resources from internal and external sources Works
    • with IT teams to support data collection, integration, and retention requirements based on business need Ident
    • ifies critical and emerging technologies that will support and extend quantitative analytic capabilities Manag
    • es work efforts which require the use of sophisticated project planning techniques Appli
    • es a wide application of complex principles, theories and concepts in a specific field to provide solutions to a wide range of difficult problems Devel
    • ops and maintains an effective network of both scientific and business contacts/knowledge obtaining relevant information and intelligence around the market and emergent opportunities Contr
    • ibutes data to State Farm's internal and external publications, write articles for leading journals and participate in academic and industry conferences
    • Collaborates with business subject matter experts to select relevant sources of information
    • Develop breadth of knowledge in programming (R, Python), Descriptive, Inferential, and Experimental Design statistics, advanced mathematics, and database functionality (SQL, Hadoop)
    • Develop expertise with multiple machine learning algorithms and data science techniques, such as exploratory data analysis, generative and discriminative predictive modeling, graph theory, recommender systems, text analytics, computer vision, deep learning, optimization and validation
    • Develop expertise with State Farm datasets, data repositories, and data movement processes
    • Assists on projects/requests and may lead specific tasks within the project scope
    • Prepares and manipulates data for use in development of statistical models
    • Develops fundamental understanding of insurance and financial services operations and uses this knowledge in decision making


Additional Details:

WHAT ARE THE DUTIES AND RESPONSIBILITIES OF THIS POSITION?

    Perfo
    • rms improved visual representation of data to allow clearer communication, viewer engagement and faster/better decision-making Inves
    • tigates, recommends, and initiates acquisition of new data resources from internal and external sources Works
    • with IT teams to support data collection, integration, and retention requirements based on business need Ident
    • ifies critical and emerging technologies that will support and extend quantitative analytic capabilities Manag
    • es work efforts which require the use of sophisticated project planning techniques Appli
    • es a wide application of complex principles, theories and concepts in a specific field to provide solutions to a wide range of difficult problems Devel
    • ops and maintains an effective network of both scientific and business contacts/knowledge obtaining relevant information and intelligence around the market and emergent opportunities Contr
    • ibutes data to State Farm's internal and external publications, write articles for leading journals and participate in academic and industry conferences
    • Collaborates with business subject matter experts to select relevant sources of information
    • Develop breadth of knowledge in programming (R, Python), Descriptive, Inferential, and Experimental Design statistics, advanced mathematics, and database functionality (SQL, Hadoop)
    • Develop expertise with multiple machine learning algorithms and data science techniques, such as exploratory data analysis, generative and discriminative predictive modeling, graph theory, recommender systems, text analytics, computer vision, deep learning, optimization and validation
    • Develop expertise with State Farm datasets, data repositories, and data movement processes
    • Assists on projects/requests and may lead specific tasks within the project scope
    • Prepares and manipulates data for use in development of statistical models
    • Develops fundamental understanding of insurance and financial services operations and uses this knowledge in decision making


Additional Details:

For over 95 years, data has been key to State Farm.  As a member of our data science team with the Enterprise Data & Analytics department under our Chief Data & Analytics Officer, you will work across the organization to solve business problems and help achieve business strategies.  You will employ sophisticated, statistical approaches and state of the art technology.  You will build and refine our tools/techniques and engage w/internal stakeholders across the organization to improve our products & services.


Implementing solutions is critical for success. You will do problem identification, solution proposal & presentation to a wide variety of management & technical audiences. This challenging career requires you to work on multiple concurrent projects in a community setting, developing yourself and others, and advancing data science both at State Farm and externally.


Skills & Professional Experience

·        Develop hypotheses, design experiments, and test feasibility of proposed actions to determine probable outcomes using a variety of tools & technologies

·        Masters, other advanced degrees, or five years experience in an analytical field such as data science quantitative marketing, statistics, operations research, management science, industrial engineering, economics, etc. or equivalent practical experience preferred.

·        Experience with SQL, Python, R, Java, SAS or MapReduce, SPARK

·        Experience with unstructured data sets: text analytics, image recognition etc.

·        Experience working w/numerous large data sets/data warehouses & ability to pull from such data sets using relevant programs & coding including files, RDBMS & Hadoop based storage systems

·        Knowledge in machine learning methods including at least one of the following: Time series analysis, Hierarchical Bayes; or learning techniques such as Decision Trees, Boosting, Random Forests.

·        Excellent communication skills and the ability to manage multiple diverse stakeholders across businesses & leadership levels.

·        Exercise sound judgment to diagnose & resolve problems within area of expertise

·        Familiarity with CI/CD development methods, Git and Docker a plus


Multiple location opportunity. Locations offered are: Atlanta, GA, Bloomington, IL, Dallas, TX and Phoenix, AZ


Remote work option is not available.


There is no sponsorship for an employment visa for the position at this time.


Competencies desired:
Critical Thinking
Leadership
Initiative
Resourcefulness
Relationship Building
Gravity IT Resources
  • Miami, FL

Overview of Position:

We undertaking an ambitious digital transformation across Sales, Service, Marketing, and eCommerce. We are looking for a web data analytics wizard with prior experience in digital data preparation, discovery, and predictive analytics.

The data scientist/web analyst will work with external partners, digital business partners, enterprise analytics, and technology team to strategically plan and develop datasets, measure web analytics, and execute on predictive and prescriptive use cases. The role demands the ability to (1) Learn quickly (2) Work in a fast-paced, team-driven environment (3) Manage multiple efforts simultaneously (4) Adept at using large datasets and using models to test effectiveness of different courses of action (5) Promote data driven decision making throughout the organization (6) Define and measure success of capabilities we provide the organization.


Primary Duties and Responsibilities

    Analy
    • ze data captured through Google Analytics and develop meaningful actionable insights on digital behavior. Put t
    • ogether a customer 360 data frame by connecting CRM Sales, Service, Marketing cloud data with Commerce Web behavior data and wrangle the data into a usable form. Use p
    • redictive modelling to increase and optimize customer experiences across online & offline channels. Evalu
    • ate customer experience and conversions to provide insights & tactical recommendations for web optimization
    • Execute on digital predictive use cases and collaborate with enterprise analytics team to ensure use of best tools and methodologies.
    • Lead support for enterprise voice of customer feedback analytics.
    • Enhance and maintain digital data library and definitions.

Minimum Qualifications

  • Bachelors degree in Statistics, Computer Science, Marketing, Engineering or equivalent
  • 3 years or more of working experience in building predictive models.
  • Experience in Google Analytics or similar web behavior tracking tools is required.
  • Experience in R is a must with working knowledge of connecting to multiple data sources such as amazon redshift, salesforce, google analytics, etc.
  • Working knowledge in machine learning algorithms such as Random Forest, K-means, Apriori, Support Vector machine, etc.
  • Experience in A/B testing or multivariate testing.
  • Experience in media tracking tags and pixels, UTM, and custom tracking methods.
  • Microsoft Office Excel & PPT (advanced).

Preferred Qualifications

  • Masters degree in statistics or equivalent.
  • Google Analytics 360 experience/certification.
  • SQL workbench, Postgres.
  • Alteryx experience is a plus.
  • Tableau experience is a plus.
  • Experience in HTML, JavaScript.
  • Experience in SAP analytics cloud or SAP desktop predictive tool is a plus
Signify Health
  • Dallas, TX

Position Overview:

Signify Health is looking for a savvy Data Engineer to join our growing team of deep learning specialists. This position would be responsible for evolving and optimizing data and data pipeline architectures, as well as, optimizing data flow and collection for cross-functional teams. The Data Engineer will support software developers, database architects, data analysts, and data scientists. The ideal candidate would be self-directed, passionate about optimizing data, and comfortable supporting the Data Wrangling needs of multiple teams, systems and products.

If you enjoy providing expert level IT technical services, including the direction, evaluation, selection, configuration, implementation, and integration of new and existing technologies and tools while working closely with IT team members, data scientists, and data engineers to build our next generation of AI-driven solutions, we will give you the opportunity to grow personally and professionally in a dynamic environment. Our projects are built on cooperation and teamwork, and you will find yourself working together with other talented, passionate and dedicated team member, all working towards a shared goal.

Essential Job Responsibilities:

  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing data models for greater scalability, etc.
  • Leverage Azure for extraction, transformation, and loading of data from a wide variety of data sources in support of AI/ML Initiatives
  • Design and implement high performance data pipelines for distributed systems and data analytics for deep learning teams
  • Create tool-chains for analytics and data scientist team members that assist them in building and optimizing AI workflows
  • Work with data and machine learning experts to strive for greater functionality in our data and model life cycle management capabilities
  • Communicate results and ideas to key decision makers in a concise manner
  • Comply with applicable legal requirements, standards, policies and procedures including, but not limited to the Compliance requirements and HIPAA.


Qualifications:Education/Licensing Requirements:
  • High school diploma or equivalent.
  • Bachelors degree in Computer Science, Electrical Engineer, Statistics, Informatics, Information Systems, or another quantitative field. or related field or equivalent work experience.


Experience Requirements:
  • 5+ years of experience in a Data Engineer role.
  • Experience using the following software/tools preferred:
    • Experience with big data tools: Hadoop, Spark, Kafka, etc.
    • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
    • Experience with AWS or Azure cloud services.
    • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
    • Experience with object-oriented/object function scripting languages: Python, Java, C#, etc.
  • Strong work ethic, able to work both collaboratively, and independently without a lot of direct supervision, and solid problem-solving skills
  • Must have strong communication skills (written and verbal), and possess good one-on-one interpersonal skills.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
  • 2 years of experience in data modeling, ETL development, and Data warehousing
 

Essential Skills:

  • Fluently speak, read, and write English
  • Fantastic motivator and leader of teams with a demonstrated track record of mentoring and developing staff members
  • Strong point of view on who to hire and why
  • Passion for solving complex system and data challenges and desire to thrive in a constantly innovating and changing environment
  • Excellent interpersonal skills, including teamwork and negotiation
  • Excellent leadership skills
  • Superior analytical abilities, problem solving skills, technical judgment, risk assessment abilities and negotiation skills
  • Proven ability to prioritize and multi-task
  • Advanced skills in MS Office

Essential Values:

  • In Leadership Do whats right, even if its tough
  • In Collaboration Leverage our collective genius, be a team
  • In Transparency Be real
  • In Accountability Recognize that if it is to be, its up to me
  • In Passion Show commitment in heart and mind
  • In Advocacy Earn trust and business
  • In Quality Ensure what we do, we do well
Working Conditions:
  • Fast-paced environment
  • Requires working at a desk and use of a telephone and computer
  • Normal sight and hearing ability
  • Use office equipment and machinery effectively
  • Ability to ambulate to various parts of the building
  • Ability to bend, stoop
  • Work effectively with frequent interruptions
  • May require occasional overtime to meet project deadlines
  • Lifting requirements of
Sentek Global
  • San Diego, CA

Sentek Global is seeking a Software Engineer to provide support to PMW 150 in San Diego, CA!


Responsibilities
  • Design, build and maintain software, develop software infrastructure and development environments, and transition older products and capabilities to the new architectures.
  • Produce effective and powerful solutions to complex problems in areas such assoftware engineering, data analytics, automation,and cybersecurity.
  • Perform analysis of existing and emerging operational and functional requirements to support the current and future systems capabilities and requirements.
  • Provide technical expertise, guidance, architecture, development and support in many different technologies directly to government customers.
  • Perform schedule planning and program management tasks as required.
  • Perform Risk Analysis for implementation of program requirements.
  • Assist in the development of requirements documents.
  • Other duties as required.


Qualifications
  • A current active secret clearance is required to be considered for this role.
  • A Bachelors Degree in data science, data analytics, computer science, or a related technical discipline is required.
  • Three to five (3-5) years providing software engineering support to a DoD program office.
  • Experience working with data rich problems through research or programs.
  • Experience with computer programming or user experience/user interface.
  • Demonstrated knowledge completing projects with large or incomplete data and ability to recommend solutions.
  • Experience with Machine Learning algorithms including convolutional neural networks (CNN), regression, classification, clustering, etc.
  • Experience using deep learning frameworks (preferably TensorFlow).
  • Experience designing and developing professional software using Linux, Python, C++, JAVA, etc.
    • Experience applying Deep/Machine Learning technology to solve real-world problems:
    • Selecting features, building and optimizing classifiers using machine learning techniques.
    • Data mining using state-of-the-art methods.
    • Extending companys data with third party sources of information when needed.
    • Enhancing data collection procedures to include information that is relevant for building analytic systems.
  • Experience processing, cleansing, and verifying the integrity of data used for analysis.
  • Experience performing ad-hoc analyses and presenting results in a clear manner.
  • Experience creating automated anomaly detection systems and constant tracking of its performance.
  • Must be able to travel one to three (1-3) times per year.
Burger King Corporation
  • Miami, FL

Position Overview:

This person will be key in the structuring of our new Guest Insights and Intelligence area within BK North America. Burger marketing analytics has evolved substantially over the past several years, to a point where we have a very detailed understanding of our sales on a product or ticket level. Nevertheless, our understanding of who is buying our products and offers is still very limited. With an increasingly competitive market, our objective is to create a new area that will have as its core focus the understanding of our guests, which ultimately will drive our strategy across several different initiatives, including calendar, pricing, innovation, advertising/communication. With more data available than ever coming from our mobile app, kiosks, POS, credit card, and external data sources, were looking for a data scientist with strong business judgment who will be able to help us structure and develop this area, effectively transforming how we look at marketing analytics at BK and eventually RBI.


Responsibilities & Qualifications:


    • 3-5 years of professional experience, masters degree a plus
    • Expertise in data modelling, visualization, and databases
    • Proficiency with statistical packages (e.g. SAS and R), database languages (e.g. SQL Server, MySQL, Oracle Express), and media measurement tools (e.g. DoubleClick, Omniture, Google Analytics)
    • Datab
      • ase design and implementation Machi
      • ne learning Time
      • series and forecasting Data
      • mining Linea
      • r and logistic regression Decis
      • ion trees Segme
      • ntation analysis Clust
      • ering techniques Marke
      • ting mix models Data
      • visualization techniques


  • Market research and competitive analysis aimed at driving growth
  • Comprehensive data analysis and manipulation to help identify trends
  • Strong interpersonal and communication skills

Restaurant Brands International US Services LLC (RBI) is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to race, color, religion, sex, national origin, disability, or protected veteran status.

KELZAL (QELZAL CORPORATION)
  • San Diego, CA

Challenge:

As Kelzals Machine Learning Engineer, youwill be part of an innovative team that designs and develops algorithms and software for the next generation of AI-enabled visual systems. You will develop power-efficient machine learning and adaptive signal processing algorithms to solve real-world imaging and video classification problems.


Responsibilities:

  • Develop algorithms for the fast, low-complexity and accurate detection and tracking of objects in real-world environments
  • Develop algorithms for event-based spatio-temporal signal processing
  • Contribute to our machine learning tool sets for curating data and training models
  • Inform sensor decisions for optimal approaches to classification for product requirements
  • Follow and drive research on state-of-the-art approaches in the areas described above, as applied to the problems we're solving


Requirements:

·      Experience in event-based signal processing

·      Experience in continuous-time signal processing techniques

·      Experience in some deep neural network packages (e.g. TensorFlow, NVIDIA Digits,             Caffe/Caffe2)

·      Experience with OpenCV

·      Experience with traditional computer vision approaches to image processing

·      Experience with developing machine-learning algorithms for multi-modal object detection,         scene understanding, semantic classification, face verification, human pose estimation, activity recognition, or anomaly detection

·      Strong experience with classification and regression algorithms

·      Strong coding skills with Python and/or C/C++ in Linux environment

·      Track record of research excellence or/and experience converting publications to actual implementations

·      Experience with commercial development processes such as continuous integration, deployment and release management tools a plus.

·      Experience launching products containing machine learning algorithms a plus

·      Experience with fixed point implementation a plus

·      3+ years hands-on experience working in industry

·      MS or PhD Degree in Computer Science, Electrical Engineering or a related field

.      Current US work authorization

Biswas Information Technology Solutions
  • Herndon, VA

We are seeking a junior-mid level Data Science Engineer to analyze large amounts of raw data from different sources to extract valuable business insights to aid in better business decision-making. Analytical mind, problem-solving skills and passion for machine-learning and research are critical for this role. You will be part of a highly passionate development team that is in the process of refining our Data Science toolkit that includes a wide set of predictive, recommendation, and inference modeling for our AI product — ranging from time-series forecasting, sentiment analysis, custom object-detection, to named-entity recognition, text summarization, and geometric deep learning.



Responsibilities



  • Identify valuable data sources and automate collection processes

  • Preprocessing of structured and unstructured data

  • Discover trends and patterns in large amounts of data

  • Build predictive models and machine-learning algorithms

  • Present information using data visualization techniques

  • Propose solutions and strategies to business challenges

  • Collaborate with engineering and product development teams



Requirements



  • Strong fundamentals in training, evaluating, and benchmarking machine learning models

  • Strong in Python Numpy, Pandas, keras (tensorflow or pytorch is a plus)

  • Familiar with Feature selection, Feature Extraction (especially for deep learning is a plus++)

  • Familiarity of common Hyper-optimization Techniques with different AI models.

  • Experience handling large data sets

  • Familiarity with BI tools (e.g. Tableau) and data frameworks (e.g. Hadoop)

  • Strong math skills (e.g. statistics, algebra)

  • Problem-solving aptitude

  • Excellent communication and presentation skills

  • 3 to 5 years of experience in the above is preferred

Booz Allen Hamilton - Tagged
  • San Diego, CA
Job Description
Job Number: R0042382
Data Scientist, Mid
The Challenge
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by machine learning, artificial intelligence advances, and IoT? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection, to cancer research, to national intelligence-you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve the DoD and federal agencies. Youll work closely with your customer to understand their questions and needs, then dig into their data-rich environment to find the pieces of their information puzzle. Youll develop algorithms, write scripts, build predictive analytics, use automation, and apply machine learning to turn disparate data points into objective answers to help our nations services and leaders make data-driven decisions. Youll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in the DoD and federal agencies.
Empower change with us.
Build Your Career
At Booz Allen, we know the power of data science and machine intelligence and were dedicated to helping you grow as a data scientist. When you join Booz Allen, you can expect:
  • access to online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, Splunk, and other open source and emerging tools
  • a chance to change the world with the Data Science Bowlthe worlds premier data science for social good competition
  • participation in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government
Youll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications? Take advantage of our tuition assistance, on-site bootcamps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. Well help you develop the career you want as you chart your own course for success.
You Have
  • Experience with one or more statistical analytical programming languages, including Python or R
  • Experience with source control and dependency management software, including Git or Maven
  • Experience with using relational databases, including MySQL
  • Experience with identifying analytic insight in data, developing visualizations, and presenting findings to stakeholders
  • Knowledge of object-oriented programming, including Java and C++
  • Knowledge of various machine learning algorithms and their designs, capabilities, and limitations
  • Knowledge of statistical analysis techniques
  • Ability to build complex extraction, transformation, and loading (ETL) pipelines to clean and fuse data together
  • Ability to obtain a security clearance
  • BA or BS degree
Nice If You Have
  • Experience with designing and implementing custom machine learning algorithms
  • Experience with graph algorithms and semantic Web
  • Experience with designing and setting up relational databases
  • Experience with Big Data computing environments, including Hadoop
  • Experience with Navy mission systems
  • MA degree in Mathematics, CS, or a related quantitative field
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Were an EOE that empowers our peopleno matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran statusto fearlessly drive change.
, CJ1, GD13, MPPC, SIG2017
Amy Cell Talent
  • Ann Arbor, MI

Do you have a passion for machine learning and analytics software? If yes, we have an amazing opportunity with a leading-edge Ann Arbor company.


Purpose of Job


This Machine Learning Scientist will leverage Artificial Intelligence, Machine Learning, and Data Science to improve, transfer, and create innovative techniques for source code and software development analytics, with a focus on automated programming.


Tasks and Responsibilities


Sema is looking for a Machine Learning Scientist to assist with developing multimodal models which leverage various techniques and metrics in source code and software development. This scientist will be part of a multidisciplinary team working to create first of kind methods that would improve the detection of poor software quality and process, as well as prediction, prevention, and correction of software quality issues.


Please note: This position will begin remotely, eventually migrating to one of our hubs in SE Michigan, Baltimore or other. A portion of your compensation may be in equity.


Also note that no sponsorship is available. Must be a U.S. Citizen or Green Card Holder.


Minimum Qualifications (Must have)



  • Machine learning experience

  • MS in Computer Science, Statistics, Data Science or related field, or equivalent intensive training and accompanying portfolio

  • Strong proficiency and understanding of machine learning algorithms & principles, deep learning, probabilistic models, and Bayesian and statistical design

  • Strong proficiency with Python and high performance computing

  • Experience with DL & ML libraries (tensorflow, keras, pytorch, sklearn)

  • Coding experience from inception through implementation in a production environment

  • Experience with cloud programming and architectures (AWS)

  • Solid understanding of good programming practices, architecture, design patterns and unit & e2e testing

  • Excellent communication and presentation skills

  • Known for passion and perseverance to pursue long-term goals through short-term high performance

  • Energized by driving innovative solutions and adapting quickly to new data

  • Demonstrate outstanding personal initiative and the ability to work effectively as part of a team

  • Desire to apply your skills in the service of a greater mission – fully automating the world’s software maintenance


Preferred Qualifications



  • Excellent software engineering skills in Python, Java, or C++

  • Domain experience in software analysis, parsers and grammars, and/or compilers

  • Experience working in Industry

  • Experience working with missing, time-series, high-dimensional, noisy, labeled, and sparse datasets

  • Experience working with graph traversal techniques, DAGs, and using ML & DL with graph data and graph networks

  • Experience running experimental ML and DL pipelines, hyper-parameter tuning, and training on large datasets

  • Experience in a start-up environment

  • Experience with causal and counterfactual inference


Compensation



  • We offer competitive compensation including stock options, and the rare opportunity to contribute significantly to the growth of a new company from the very beginning.

  • We will consider and adjust the level of responsibility and compensation for exceptional candidates with different levels of seniority and experience.