OnlyDataJobs.com

Hydrogen Group
  • Austin, TX

Data Scientist
x2 Roles
Permanent
Austin, TX
Remote + Flex Hours


Our client is a very well funded venture capital start-up ran by an experienced team of technical entrenreneurrs based in Austin, TX. Having sucessfully raisefd over $10 million in Series A funding they are looking to expand their existing Data Science and Analytics team by adding 2 new members with plans to grow total headcount to 10 by the summer.

The sucessful candidate will be focused on working with client company's data accross multople sources and developing algorithems and models which will be used to improve performance.


Requirements:

  • The ability to solve problems that no one else has before in a start-up environment - in return you will be given flexible working hours, ability to work remote as you deem fit.
  • Background in EITHER (or Both) Machine learning or statistics - PhD + advanced academic qualifications welcome but not essential.
  • Ability to work in R, Python, TensorFlow, RStudio preffered by not essential


Interviews taking place from 21st ownwards with offers made ASAP

IT - Data Scientist - x2 - Austin, TX - R - Machine Learning - IT - Analytics - Statistics - AI - Python - IT - Data Scientist - x2 - Austin, TX - Keras - Tensor Flow - RStudio - Data Scientist - x2 - Austin, TX -

FCA Fiat Chrysler Automobiles
  • Detroit, MI

Fiat Chrysler Automobiles is looking to fill the full-time position of a Data Scientist. This position is responsible for delivering insights to the commercial functions in which FCA operates.


The Data Scientist is a role in the Business Analytics & Data Services (BA) department and reports through the CIO. They will play a pivotal role in the planning, execution  and delivery of data science and machine learning-based projects. The bulk of the work with be in areas of data exploration and preparation, data collection and integration, machine learning (ML) and statistical modelling and data pipe-lining and deployment.

The newly hired data scientist will be a key interface between the ICT Sales & Marketing team, the Business and the BA team. Candidates need to be very much self-driven, curious and creative.

Primary Responsibilities:

    • Problem Analysis and Project Management:
      • Guide and inspire the organization about the business potential and strategy of artificial intelligence (AI)/data science
      • Identify data-driven/ML business opportunities
      • Collaborate across the business to understand IT and business constraints
      • Prioritize, scope and manage data science projects and the corresponding key performance indicators (KPIs) for success
    • Data Exploration and Preparation:
      • Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)
      • Generate and test hypotheses about the underlying mechanics of the business process.
      • Network with domain experts to better understand the business mechanics that generated the data.
    • Data Collection and Integration:
      • Understand new data sources and process pipelines. Catalog and document their use in solving business problems.
      • Create data pipelines and assets the enable more efficiency and repeatability of data science activities.
    • Data Exploration and Preparation:
      • Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)
    • Machine Learning and Statistical Modelling:
      • Apply various ML and advanced analytics techniques to perform classification or prediction tasks
      • Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing
      • Testing of ML models, such as cross-validation, A/B testing, bias and fairness
    • Operationalization:
      • Collaborate with ML operations (MLOps), data engineers, and IT to evaluate and implement ML deployment options
      • (Help to) integrate model performance management tools into the current business infrastructure
      • (Help to) implement champion/challenger test (A/B tests) on production systems
      • Continuously monitor execution and health of production ML models
      • Establish best practices around ML production infrastructure
    • Other Responsibilities:
      • Train other business and IT staff on basic data science principles and techniques
      • Train peers on specialist data science topics
      • Promote collaboration with the data science COE within the organization.

Basic Qualifications:

    • A bachelors  in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field [or equivalent work experience such as, economics, engineering and physics] is required. Alternate experience and education in equivalent areas such as economics, engineering or physics, is acceptable. Experience in more than one area is strongly preferred.
    • Candidates should have three to six years of relevant project experience in successfully launching, planning, executing] data science projects. Preferably in the domains of automotive or customer behavior prediction.
    • Coding knowledge and experience in several languages: for example, R, Python, SQL, Java, C++, etc.
    • Experience of working across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service, and others.
    • Experience with distributed data/computing and database tools: MapReduce, Hadoop, Hive, Kafka, MySQL, Postgres, DB2 or Greenplum, etc.
    • All candidates must be self-driven, curious and creative.
    • They must demonstrate the ability to work in diverse, cross-functional teams.
    • Should be confident, energetic self-starters, with strong moderation and communication skills.

Preferred Qualifications:

    • A master's degree or PhD in statistics, ML, computer science or the natural sciences, especially physics or any engineering disciplines or equivalent.
    • Experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
    • Knowledge and experience in statistical and data mining techniques: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
    • A specialization in text analytics, image recognition, graph analysis or other specialized ML techniques such as deep learning, etc., is preferred.
    • Ideally, the candidates are adept in agile methodologies and well-versed in applying DevOps/MLOps methods to the construction of ML and data science pipelines.
    • Knowledge of industry standard BA tools, including Cognos, QlikView, Business Objects, and other tools that could be used for enterprise solutions
    • Should exhibit superior presentation skills, including storytelling and other techniques to guide and inspire and explain analytics capabilities and techniques to the organization.
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.

The HT Group
  • Austin, TX

Full Stack Engineer, Java/Scala Direct Hire Austin

Do you have a track record of building both internal- and external-facing software services in a dynamic environment? Are you passionate about introducing disruptive and innovative software solutions for the shipping and logistics industry? Are you ready to deliver immediate impact with the software you create?

We are looking for Full Stack Engineers to craft, implement and deploy new features, services, platforms, and products. If you are curious, driven, and naturally explore how to build elegant and creative solutions to complex technical challenges, this may be the right fit for you. If you value a sense of community and shared commitment, youll collaborate closely with others in a full-stack role to ship software that delivers immediate and continuous business value. Are you up for the challenge?

Tech Tools:

  • Application stack runs entirely on Docker frontend and backend
  • Infrastructure is 100% Amazon Web Services and we use AWS services whenever possible. Current examples: EC2 Elastic Container Service (Docker), Kinesis, SQS, Lambda and Redshift
  • Java and Scala are the languages of choice for long-lived backend services
  • Python for tooling and data science
  • Postgres is the SQL database of choice
  • Actively migrating to a modern JavaScript-centric frontend built on Node, React/Relay, and GraphQL as some of our core UI technologies

Responsibilities:

  • Build both internal and external REST/JSON services running on our 100% Docker-based application stack or within AWS Lambda
  • Build data pipelines around event-based and streaming-based AWS services and application features
  • Write deployment, monitoring, and internal tooling to operate our software with as much efficiency as we build it
  • Share ownership of all facets of software delivery, including development, operations, and test
  • Mentor junior members of the team and coach them to be even better at what they do

Requirements:

  • Embrace the AWS + DevOps philosophy and believe this is an innovative approach to creating and deploying products and technical solutions that require software engineers to be truly full-stack
  • Have high-quality standards, pay attention to details, and love writing beautiful, well-designed and tested code that can stand the test of time
  • Have built high-quality software, solved technical problems at scale and believe in shipping software iteratively and often
  • Proficient in and have delivered software in Java, Scala, and possibly other JVM languages
  • Developed a strong command over Computer Science fundamentals
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.

Riccione Resources
  • Dallas, TX

Sr. Data Engineer Hadoop, Spark, Data Pipelines, Growing Company

One of our clients is looking for a Sr. Data Engineer in the Fort Worth, TX area! Build your data expertise with projects centering on large Data Warehouses and new data models! Think outside the box to solve challenging problems! Thrive in the variety of technologies you will use in this role!

Why should I apply here?

    • Culture built on creativity and respect for engineering expertise
    • Nominated as one of the Best Places to Work in DFW
    • Entrepreneurial environment, growing portfolio and revenue stream
    • One of the fastest growing mid-size tech companies in DFW
    • Executive management with past successes in building firms
    • Leader of its technology niche, setting the standards
    • A robust, fast-paced work environment
    • Great technical challenges for top-notch engineers
    • Potential for career growth, emphasis on work/life balance
    • A remodeled office with a bistro, lounge, and foosball

What will I be doing?

    • Building data expertise and owning data quality for the transfer pipelines that you create to transform and move data to the companys large Data Warehouse
    • Architecting, constructing, and launching new data models that provide intuitive analytics to customers
    • Designing and developing new systems and tools to enable clients to optimize and track advertising campaigns
    • Using your expert skills across a number of platforms and tools such as Ruby, SQL, Linux shell scripting, Git, and Chef
    • Working across multiple teams in high visibility roles and owning the solution end-to-end
    • Providing support for existing production systems
    • Broadly influencing the companys clients and internal analysts

What skills/experiences do I need?

    • B.S. or M.S. degree in Computer Science or a related technical field
    • 5+ years of experience working with Hadoop and Spark
    • 5+ years of experience with Python or Ruby development
    • 5+ years of experience with efficient SQL (Postgres, Vertica, Oracle, etc.)
    • 5+ years of experience building and supporting applications on Linux-based systems
    • Background in engineering Spark data pipelines
    • Understanding of distributed systems

What will make my résumé stand out?

    • Ability to customize an ETL or ELT
    • Experience building an actual data warehouse schema

Location: Fort Worth, TX

Citizenship: U.S. citizens and those authorized to work in the U.S. are encouraged to apply. This company is currently unable to provide sponsorship (e.g., H1B).

Salary: 115 130k + 401k Match

---------------------------------------------------


~SW1317~

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.
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

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.

HelloFresh US
  • New York, NY

HelloFresh is hiring a Data Scientist to join our Supply Chain Analytics Team! In this exciting role, you will develop cutting edge insights using a wealth of data about our suppliers, ingredients, operations, and customers to improve the customer experience, drive operational efficiencies and build new supply chain capabilities. To succeed in this role, you’ll need to have a genuine interest in using data and analytic techniques to solve real business challenges, and a keen interest to make a big impact on a fast-growing organization.


You will...



  • Own the development and deployment of quantitative models to make routine and strategic operational decisions to plan the fulfillment of orders and identify the supply chain capabilities we need to build to continue succeeding in the business

  • Solve complex optimization problems with linear programming techniques

  • Collaborate across operational functions (e.g. supply chain planning, logistics, procurement, production, etc) to identify and prioritize projects

  • Communicate results and recommendations to stakeholders in a business oriented manner with clear guidelines which can be implemented across functions in the supply chain

  • Work with complex datasets across various platforms to perform descriptive, prescriptive, predictive, and exploratory analyses


At a minimum, you have...



  • Advanced degree in Statistics, Economics, Applied Mathematics, Computer Science, Data Science, Engineering or a related field

  • 2 - 5 years’ experience delivering analytical solutions to complex business problems

  • Knowledge of linear programming optimization techniques (familiarity with software like CPLEX, AMPL, etc is a plus)

  • Fluency in managing and analyzing large data sets of data with advanced tools, such as R and Python etc.

  • Experience extracting and transforming data from structured databases such as: MySQL, PostgreSQL, etc.


You are...



  • Results-oriented - You love transforming data into meaningful outcomes

  • Gritty - When you encounter obstacles you find solutions, not excuses

  • Intellectually curious – You love to understand why things are the way they are, how things work, and challenge the status quo

  • A team player – You favor team victories over individual success

  • A structured problem solver – You possess strong organizational skills and consistently demonstrate a methodical approach to all your work

  • Agile – You thrive in fast-paced and dynamic environments and are comfortable working autonomously

  • A critical thinker – You use logic to identify opportunities, evaluate alternatives, and synthesize and present critical information to solve complex problems



Our team is diverse, high-performing and international, helping us to create a truly inspiring work environment in which you will thrive!


It is the policy of HelloFresh not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or because he or she is a protected veteran.

Computer Staff
  • Fort Worth, TX

We have been retained by our client located in Fort Worth, Texas (south Ft Worth area), to deliver a Risk Modeler on a regular full-time basis.   We prefer SAS experience but are interviewing candidates with R, SPSS, WPS, MatLab or similar statistical package experience if candidate has experience from financial loan credit risk analysis industry. Enjoy all the resources of a big company, none of problems that small companies have. This company has doubled in size in 3 years. We have a keen interest in finding a business minded statistical modeling candidate with some credit risk experience to build statistical models within the marketing, direct mail areas of financial services, lending, loans. We are seeking a candidate with statistical modeling, and data analysis skills, interested in creating better ways to solve problems in order to increase loan originations, and decrease loan defaults, and more. Our client is in business to find prospective borrowers, originate loans, provide loans, service loans, process loans and collect loan payments. The team works with third party data vendors, credit reporting agencies and data service providers, data augmentation, address standardization, fraud detection; decision sciences, analytics, and this position includes create of statistical models. They support the one of the, if not the largest profile of decision management in the US.  


We require experience with statistical analysis tools such as SAS, Matlab, R, WPS or SPSS or Python if to do statistical analysis. This is a statistical modeling, risk modeling, model building, decision science, data analysis and statistical analysis type of role requiring SQL and/or SQL Server experience and critical thinking skills to solve problems.   We prefer candidates with experience with data analysis, SQL queries, joins (left, inner, outer, right), reporting from data warehouses with tools such as Tableau, COGNOS, Looker, Business Objects. We prefer candidates with financial and loan experience especially knowledge of loan originations, borrower profiles or demographics, modeling loan defaults, statistical analysis i.e. Gini Coefficients and K-S test / Kolmogorov-Smirnov test for credit scoring and default prediction and modeling.


However, primarily critical thinking skills, and statistical modeling and math / statistics skills are needed to fulfill the tasks of this very interesting and important role, including playing an important role growing your skills within this small risk/modeling team. Take on challenges in the creation and use of statistical models. There is no use for Hadoop, or any NoSQL databases in this position this is not a big data type of position. no "big data" type things needed. There is no Machine Learning or Artificial Intelligence needed in this role. Your role is to create and use those statistical models. Create statistical models for direct mail in financial lending space to reach the right customers with the right profiles / demographics / credit ratings, etc. Take credit risk, credit analysis, loan data and build a new model, or validate the existing model, or recalibrate it or rebuild it completely.   The models are focused on delivering answers to questions or solutions to problems within these areas financial loan lending: Risk Analysis, Credit Analysis, Direct Marketing, Direct Mail, and Defaults. Logistical regression in SAS or Knowledge Studio, and some light use of Looker as the B.I. tool on top of SQL Server data.   Deliver solutions or ways for this business to make improvements in these areas and help the business be more profitable. Seek answers to questions. Seek solutions to problems. Create models. Dig into the data. Explore and find opportunities to improve the business. Expected to fit within the boundaries of defaults or loan values and help drive the business with ideas to get a better models in place, or explore data sources to get better models in place. Use critical thinking to solve problems.


Answer questions or solve problems such as:

What are the statistical models needed to produce the answers to solve risk analysis and credit analysis problems?

What are customer profiles have the best demographics or credit risk for loans to send direct mail items to as direct marketing pieces?

Why are loan defaults increasing or decreasing? What is impacting the increase or decrease of loan defaults?  



Required Skills

Bachelors degree in Statistics or Finance or Economics or Management Information Systems or Math or Quantitative Business Analysis or Analytics any other related math or science or finance degree. Some loan/lending business domain work experience.

Masters degree preferred, but not required.

Critical thinking skills.

must have SQL skills (any database SQL Server, MS Access, Oracle, PostgresSQL, Postgres) and the ability to write queries, joins, inner joins, left joins, right joins, outer joins. SQL Server is highly preferred.

Any statistical analysis systems / packages experience including statistical modeling experience, and excellent math skills:   SAS, Matlab, R, WPS, SPSS or Python with R language if used in statistical analysis. Must have significant statistical modeling skills and experience.



Preferred Skills:
Loan Credit Analysis highly preferred.   SAS highly preferred.
Experience with Tableu, Cognos, Business Objects, Looker or similar data warehouse data slicing and dicing and data warehouse reporting tools.   Creating reports from data warehouse data, or data warehouse reporting. SQL Server SSAS but only to pull reports. Direct marketing, direct mail marketing, loan/lending to somewhat higher risk borrowers.



Employment Type:   Regular Full-Time

Salary Range: $85,000 130,000 / year    

Benefits:  health, medical, dental, vision only cost employee about $100 per month.
401k 4% matching after 1 year, Bonus structure, paid vacation, paid holidays, paid sick days.

Relocation assistance is an option that can be provided, for a very well qualified candidate. Local candidates are preferred.

Location: Fort Worth, Texas
(area south of downtown Fort Worth, Texas)

Immigration: US citizens and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time.

Please apply with resume (MS Word format preferred), and also Apply with your Resume or apply with your Linked In Profile via the buttons on the bottom of this Job Posting page:  

http://www.computerstaff.com/?jobIdDescription=314  


Please call 817-424-1411 or please send a Text to 817-601-7238 to inquire or to follow up on your resume application. Yes, we recommend you call to leave a message, or send a text with your name, at least.   Thank you for your attention and efforts.

Anaconda, Inc.
  • Austin, TX

Role: Sr. Product Manager

Reports to: Director, Product Management

Department: Product

Location: Austin, TX

Job Type: Full Time, Exempt      

Help Us Shape the Future of Data

With over 11 million users, Anaconda is the worlds most popular Python data science platform. Anaconda, Inc. continues to lead open source projects like Anaconda, NumPy, and SciPy that form the foundation of modern data science. Anacondas flagship product, Anaconda Enterprise, allows organizations to secure, govern, scale, and extend Anaconda to deliver actionable insights that drive businesses and industries forward.


Anaconda is seeking people who want to play a role in shaping the future of enterprise AI, machine learning, and data science. We strive to create a culture that is both relaxed and focused, and we stress empathy and collaboration with our customers, open source users, and each other. Our primary employee perk is that we are actively working on projects that have a global impact.

Summary

Anaconda is seeking a talented Sr. Product Manager for the Anaconda Enterprise. This is an excellent opportunity to play a key role in enabling any company to run a state of the art Machine Learning discipline, while working with passionate, talented people.


What Youll Do:

    • Understand and clearly define user problems. Work with engineering and design to deliver great solutions in a collaborative fashion.
    • Develop and refine user personas.
    • Use data-driven methodology to prioritize roadmap themes.
    • Present product features and technical direction to internal stakeholders.
    • Ensure that sales, customer success, and support are in the know regarding the direction of the product.
    • Partner with Product Marketing to craft messaging, positioning, and collateral.
    • Tap into the pulse of the open source, data science, and developer communities.
    • Be the interface between disparate stakeholders and roles: Anaconda engineers; community contributors; end users who are data scientists, software developers, sysadmins, and devops engineers.


What You Need:

    • Minimum of 5 years of Product Management experience.
    • Working knowledge of Kubernetes.
    • Superb public speaking and presentation skills.
    • A passion for data science.
    • Ability to travel up to 20% of the time.


What Will Make You Stand Out:

    • You have previous experience as a software developer or devops engineer.
    • You have specific experience working with open source data science technologies, like Hadoop, Spark, or Tensorflow.
    • You have been part of a team that has deployed complex models into production at an enterprise company.


Why Youll Like Working Here:

    • Dynamic company that rewards high-performers
    • Be on the cutting edge of new technologies and services
    • Collaborative team environment that values multiple perspectives and fresh thinking
    • Employees First culture
    • Casual dress code
    • Flexible working hours
    • Medical, Dental, Vision, HSA, Life, and 401K
    • Pre IPO Stock options
    • Unlimited Vacation!
Accenture
  • Dallas, TX
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.
Accenture
  • Houston, TX
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.
Roc Search
  • Austin, TX
The Company


Roc Search are working with a Machine Learning startup based in central Austin who are specialists in the image and video processing Machine Learning space. They are 35-50 staff and are growning. Their client base consists of many Fortune 100 companies so they have a stable base to build on and are looking to expand.


The company are one of the most exciting companies in the Machine Learning space right now and are looking for someone who has a background in Machine Learning in production.


The Role


Working as an Applied Machine Learning Engineer, you will be responsible for delivering Machine Learning algorithms into cloud production environments, using:


- Java or Python

- TensorFlow / Keras

- AWS

- Image / video processing and analysis


If you have experience of delivering Machine Learning algorithms to production environments, we'd love to hear from you.

SparkCognition
  • Austin, TX

Overview

SparkCognition is an AI leader that offers business-critical solutions for customers in energy, oil and gas, manufacturing, finance, aerospace, defense, and security. A highly awarded company recognized for cutting-edge technology, SparkCognition develops AI-powered, cyber-physical software for the safety, security, reliability, and optimization of IT, OT, and the Industrial IoT.


SparkCognition is looking for innovative Data Scientists to join our team to help create the next generation of analytics and artificial intelligence solutions. At SparkCognition, you will immerse yourself in cutting-edge research and work with the latest technologies to deliver value in the Industrial IoT and Defense spaces.


Responsibilities

  • Building models to solve specific problems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Feature engineering using various techniques for the enhancement of data
  • Performing feature selection on original and generated data
  • Using machine learning tools to develop and train models
  • Performing efficacy testing of the models
  • Building automated tools that enable data scientists to more effectively perform tasks such as data cleaning, feature generation, feature selection, or model building
  • Performing ad-hoc analysis and presenting results in a clear manner
  • Working with a team to help solve new, never-before-solved challenges across multiple industries


Qualifications

  • Must be a US Citizen
  • Understanding and experience using machine learning techniques and algorithms, including but not limited to: Linear Models, Neural Networks, Decision Trees, Bayesian Techniques, Clustering, Anomaly Detection, and more
  • Experience with data science languages, such as Python, R, MatLab, etc.
  • Experience with machine learning frameworks, such as PyTorch, TensorFlow, Theano, Keras, etc
  • Great communication skills
  • Good applied statistics skills, such as distributions, statistical testing, etc.
  • Good scripting and programming skills, especially Python
  • Experience managing large volumes of data (terabytes or more)
  • Graduate degree (or equivalent industry experience), in Computer Science, Statistics, Physics, Mathematics, Neuroscience, Linguistics, Electrical Engineering, Economics, or a related scientific discipline
  • Experience with distributed computing, such as Hadoop, Spark, or an MPP environment a plus
  • Experience with developing application on full stack of HTTP, JSON, REST, React, Java/C#, SQL and no-SQL databases a plus
  • Experience with NLP, Big Data Analytics, and Graphing techniques a plus