OnlyDataJobs.com

Brighter Brain
  • Atlanta, GA

Brighter Brain is seeking a skilled professional to serve as an internal resource for our consulting firm in the field of Data Science Development. Brighter Brain provides Fortune 500 clients throughout the United States with IT consultants in a wide-ranging technical sphere.

In order to fully maintain our incoming nationwide and international hires, we will be hiring a Senior Data Science SME (ML) with practical experience to relocate to Atlanta and coach/mentor our incoming classes of consultants. If you have a strong passion for the Data Science platform and are looking to join a seasoned team of IT professionals, this could be an advantageous next step.

Brighter Brain is an IT Management & Consultingfirm providing a unique take on IT Consulting. We currently offer expertise to US clients in the field of Mobile Development (iOS and Android), Hadoop, Microsoft SharePoint, and Exchange/ Office 365. We are currently seeking a highly skilled professional to serve as an internal resource for our company in the field of Data Science with expertise in Machine Learning (ML)

The ideal candidatewill be responsible for establishing our Data Science practice. The responsibilities include creation of a comprehensive training program, training, mentoring, and supporting ideal candidates, as they progress towards building their career in Data Science Consulting. This position is based out of our head office in Atlanta, GA.

If you have a strong passion for Data Science and are looking to join a seasoned team of IT professionals, this could be an advantageous next step.

The Senior Data Science SMEwill take on the following responsibilities:

-       Design, develop and maintain Data Science training material, focused around: ML Knowledge of DL, NN & NLP is a plus.

-       Interview potential candidates to ensure that they will be successful in the Data Science domain and training.

-       Train, guide and mentor junior to mid-level Data Science developers.

-       Prepare mock interviews to enhance the learning process provided by the company.

-       Prepare and support consultants for interviews for specific assignments involving development and implementation of Data Science.

-       Act as a primary resource for individuals working on a variety of projects throughout the US.

-       Interact with our Executive and Sales team to ensure that projects and employees are appropriately matched.

The ideal candidatewill not only possess a solid knowledge of the realm, but must also have the fluency in the following areas:

-       Hands-on expertise in using Data Science and building machine learning models and Deep learning models

-       Statistics and data modeling experience

-       Strong understanding of data sciences

-       Understanding of Big Data

-       Understanding of AWS and/or Azure

-       Understand the difference between Tensorflow, MxNet, etc

Skills Include:

  • Masters Degree in the Computer Science or mathematics fields

    10+ Years of professional experience in the IT Industry, in the AI realm

  • Strong understanding of MongoDB, Scala, Node.js, AWS, & Cognitive applications
  • Excellent knowledge in Python, Scala, JavaScript and its libraries, Node.js, Python, R and MatLab C/C++ Lua or any proficient AI language of choice
  • NoSQL databases, bot framework, data streaming and integrating unstructured Data Rules engines e.g. drools, ESBs e.g. MuleSoft Computer
  • Vision,Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence, Neural Networks
  • Deep Learning frameworks like Tensorflow, Torch, Caffee, Theano, CNTK, cikit-
  • learn, numpy, scipy
  • Working knowledge of ML such as: Naïve Bayes Classification, Ordinary Least
  • Square
  • Regression, Logic Regression, Supportive Vector Machines, Ensemble Methods,
  • Clustering
  • Algorithms, Principal Component Analysis, Singular Value Decomposition, and
  • Independent Component Analysis.  
  • Natural Language Processing (NLP) concepts such as topic modeling, intents,
  • entities, and NLP frameworks such as SpaCy, NLTK, MeTA, gensim or other
  • toolkits for Natural Language Understanding (NLU)
  • Experience data profiling, data cleansing, data wrangling/mungline, ETL
  • Familiarity with Spark MLlib, Mahout Google, Bing, and IBM Watson APIs
  • Hands on experience as needed with training a variety of consultants
  • Analytical and problem-solving skills
  • Knowledge of IOT space
  • Understand Academic Data Science vs Corporate Data Science
  • Knowledge of the Consulting/Sales structure

Additional details about the position:

-       Able to relocate to Atlanta, Ga (Relocation package available)

-       Work schedule of 9 AM to 6 PM EST

Questions: Send your resume to Ansel Butler at Brighter Brain; make sure that there is a valid phone number and Skype ID either on the resume, or in the body of the email.

Ansel Essic Butler

EMAIL: ANSEL.BUTLER@BRIGHTERBRAIN.COM

404 791 5128

SKYPE: ANSEL.BUTLER@OUTLOOK.COM

Senior Corporate Recruiter

Brighter Brain LLC.

1785 The Exchange, Suite 200

Atlanta, GA. 30339

Man AHL
  • London, UK

The Role


As a Quant Platform Developer at AHL you will be building the tools, frameworks, libraries and applications which power our Quantitative Research and Systematic Trading. This includes responsibility for the continued success of “Raptor”, our in-house Quant Platform, next generation Data Engineering, and evolution of our production Trading System as we continually expand the markets and types of assets we trade, and the styles in which we trade them. Your challenges will be varied and might involve building new high performance data acquisition and processing pipelines, cluster-computing solutions, numerical algorithms, position management systems, visualisation and reporting tools, operational user interfaces, continuous build systems and other developer productivity tools.


The Team


Quant Platform Developers at AHL are all part of our broader technology team, members of a group of over sixty individuals representing eighteen nationalities. We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering – even Classics - but what unifies us is a passion for technology and writing high-quality code.



Our developers are organised into small cross-functional teams, with our engineering roles broadly of two kinds: “Quant Platform Developers” otherwise known as our “Core Techs”, and “Quant Developers” which we often refer to as “Sector Techs”. We use the term “Sector Tech” because some of our teams are aligned with a particular asset class or market sector. People often rotate teams in order to learn more about our system, as well as find the position that best matches their interests.


Our Technology


Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and Oracle.



We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and HipChat for internal communication. But our technology list is never static: we constantly evaluate new tools and libraries.


Working Here


AHL has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do.  We are actively engaged with the broader technology community.



  • We host and sponsor London’s PyData and Machine Learning Meetups

  • We open-source some of our technology. See https://github.com/manahl

  • We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See @manahltech



We’re fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work.



  • We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches

  • We have annual away days and off-sites for the whole team

  • We have a canteen with a daily allowance for breakfast and lunch, and an on-site bar for in the evening

  • As well as PC’s and Macs, in our office you’ll also find numerous pieces of cool tech such as light cubes and 3D printers, guitars, ping-pong and table-football, and a piano.



We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications.


Technology and Business Skills


At AHL we strive to hire only the brightest and best and most highly skilled and passionate technologists.



Essential



  • Exceptional technology skills; recognised by your peers as an expert in your domain

  • A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches

  • Expert knowledge in one or more programming languages, preferably Python, Java and/or C/C++

  • Proficient on Linux platforms with knowledge of various scripting languages

  • Strong knowledge of one or more relevant database technologies e.g. Oracle, MongoDB

  • Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, React

  • Familiarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patterns.



Advantageous



  • An excellent understanding of financial markets and instruments

  • Experience of front office software and/or trading systems development e.g. in a hedge fund or investment bank

  • Expertise in building distributed systems with service-based or event-driven architectures, and concurrent processing

  • A knowledge of modern practices for data engineering and stream processing

  • An understanding of financial market data collection and processing

  • Experience of web based development and visualisation technology for portraying large and complex data sets and relationships

  • Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms.


Personal Attributes



  • Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university

  • Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others

  • Demonstrable passion for technology e.g. personal projects, open-source involvement

  • Intellectually robust with a keenly analytic approach to problem solving

  • Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities

  • Focused on delivering value to the business with relentless efforts to improve process

  • Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike

  • Confident communicator; able to argue a point concisely and deal positively with conflicting views.

TRA Robotics
  • Berlin, Germany

We are engineers, designers and technologists, united by the idea of shaping the future. Our mission is to reimagine the manufacturing process. It will be fully software-defined and driven entirely by AI. This means new products will get to market much quicker.


Now we are working on creating a flexible robotic factory managed by AI. We are developing and integrating a stack of products that will facilitate the whole production process from design to manufacturing. Our goal is complex and deeply rooted in science. We understand that it is only achievable in collaboration across diverse disciplines and knowledge domains.


Currently, we are looking for a Senior Software Engineer, experienced in Java or Scala, to join our Operations Control System team.


About the project:


The main goal is to create Distributed Fault-Tolerant Middleware. It will coordinate all the robotic operations on the factory: from the interaction between a robotic arm and various sensors to the requirements projection onto the real distributed sequence of robots’ actions.


In our work, we use cutting-edge technologies and approaches: Scala/Akka, Apache Ignite, Apache Spark, Akka Streams. As for data analysis, it is entirely up to the team to choose which methods and tools to use. We are in continuous research and development, nothing written in stone yet. You can have an influence on the decisions and technologies to use.


Up to now, OS supports several architecture patterns:



  • BlackBoard - storage, based on modern in-memory approaches

  • A multi-agent system for managing operations

  • A knowledge base of technological operations with declarative semantics

  • Rule engine based system for an algorithm selection

  • Factory monitoring tools (Complex Event Processing)


Therefore, as a part of the team, you will create a new core technology for all the projects and for the whole industry.


Your Qualifications:



  • Proficiency with Java or Scala Core (3+ years)

  • Strong knowledge of SQL (2+ years)

  • Extensive experience in enterprise development (2+ years)

  • Excellent knowledge of algorithms and data structures

  • Experience with git/maven

  • Fluency in English


Will be an advantage:



  • Experience in Akka, GridGain/Ignite, Hadoop/Spark

  • Understanding of distributed systems main concepts

  • Knowledge of multi-agent systems

  • Basic knowledge of rule-based engines

  • Experience in building high load systems

  • Experience in Linux (as a power user)


What we offer:



  • To join highly scientific-intensive culture and take part in developing a unique product

  • The ability to choose technology stack and approaches

  • Yearly educational budget - we support your ambitions to learn

  • Relocation package - we would like to make your start as smooth as possible

  • Flexible working environment - choose your working hours and equipment

  • Cosy co-working space in Berlin-Mitte with an access to a terrace

Comcast
  • Philadelphia, PA

Comcast's Technology & Product organization works at the intersection of media and technology. Our innovative teams are continually developing and delivering products that transform the customer experience. From creating apps like TVGo to new features such as the Talking Guide on the X1 platform, we work every day to make a positive impact through innovation in the pursuit of building amazing products that are enjoyable, easy to use and accessible across all platforms. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards.

As a Data Science Engineer in Comcastdx, you will research, model, develop, support data pipelines and deliver insights for key strategic initiatives. You will develop or utilize complex programmatic and quantitative methods to find patterns and relationships in data sets; lead statistical modeling, or other data-driven problem-solving analysis to address novel or abstract business operation questions; and incorporate insights and findings into a range of products.

Assist in design and development of collection and enrichment components focused on quality, timeliness, scale and reliability. Work on real-time data stores and a massive historical data store using best-of-breed and industry leading technology.

Responsibilities:

-Develop and support data pipelines

-Analyze massive amounts of data both in real-time and batch processing utilizing Spark, Kafka, and AWS technologies such as Kinesis, S3, ElastiSearch, and Lambda

-Create detailed write-ups of processes used, logic applied, and methodologies used for creation, validation, analysis, and visualizations. Write ups shall occur initially, within a week of when process is created, and updated in writing when changes occur.

-Prototype ideas for new ML/AI tools, products and services

-Centralize data collection and synthesis, including survey data, enabling strategic and predictive analytics to guide business decisions

-Provide expert and professional data analysis to implement effective and innovative solutions meshing disparate data types to discover insights and trends.

-Employ rigorous continuous delivery practices managed under an agile software development approach

-Support DevOps practices to deploy and operate our systems

-Automate and streamline our operations and processes

-Troubleshoot and resolve issues in our development, test and production environments

Here are some of the specific technologies and concepts we use:

-Spark Core and Spark Streaming

-Machine learning techniques and algorithms

-Java, Scala, Python, R

-Artificial Intelligence

-AWS services including EMR, S3, Lambda, ElasticSearch

-Predictive Analytics

-Tableau, Kibana

-Git, Maven, Jenkins

-Linux

-Kafka

-Hadoop (HDFS, YARN)

Skills & Requirements:

-5-8 years of Java experience, Scala and Python experience a plus

-3+ years of experience as an analyst, data scientist, or related quantitative role.

-3+ years of relevant quantitative and qualitative research and analytics experience. Solid knowledge of statistical techniques.

-Bachelors in Statistics, Math, Engineering, Computer Science, Statistics or related discipline. Master's Degree preferred.

-Experience in software development of large-scale distributed systems including proven track record of delivering backend systems that participate in a complex ecosystem

-Experience with more advanced modeling techniques (eg ML.)

-Distinctive problem solving and analysis skills and impeccable business judgement.

-Experience working with imperfect data sets that, at times, will require improvements to process, definition and collection

-Experience with real-time data pipelines and components including Kafka, Spark Streaming

-Proficient in Unix/Linux environments

-Test-driven development/test automation, continuous integration, and deployment automation

-Excellent communicator, able to analyze and clearly articulate complex issues and technologies understandably and engagingly

-Team player is a must

-Great design and problem-solving skills

-Adaptable, proactive and willing to take ownership

-Attention to detail and high level of commitment

-Thrives in a fast-paced agile environment

About Comcastdx:

Comcastdxis a result driven big data engineering team responsible for delivery of multi-tenant data infrastructure and platforms necessary to support our data-driven culture and organization.dxhas an overarching objective to gather, organize, and make sense of Comcast data with intention to reveal business and operational insight, discover actionable intelligence, enable experimentation, empower users, and delight our stakeholders. Members of thedxteam define and leverage industry best practices, work on large-scale data problems, design and develop resilient and highly robust distributed data organizing and processing systems and pipelines as well as research, engineer, and apply data science and machine intelligence disciplines.

Comcast is an EOE/Veterans/Disabled/LGBT employer

Comcast
  • Philadelphia, PA

Comcast's Technology & Product organization works at the intersection of media and technology. Our innovative teams are continually developing and delivering products that transform the customer experience. From creating apps like TVGo to new features such as the Talking Guide on the X1 platform, we work every day to make a positive impact through innovation in the pursuit of building amazing products that are enjoyable, easy to use and accessible across all platforms. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards.

As a Data Science Engineer in Comcastdx, you will research, model, develop, support data pipelines and deliver insights for key strategic initiatives. You will develop or utilize complex programmatic and quantitative methods to find patterns and relationships in data sets; lead statistical modeling, or other data-driven problem-solving analysis to address novel or abstract business operation questions; and incorporate insights and findings into a range of products.

Assist in design and development of collection and enrichment components focused on quality, timeliness, scale and reliability. Work on real-time data stores and a massive historical data store using best-of-breed and industry leading technology.

Responsibilities:

-Develop and support data pipelines

-Analyze massive amounts of data both in real-time and batch processing utilizing Spark, Kafka, and AWS technologies such as Kinesis, S3, ElastiSearch, and Lambda

-Create detailed write-ups of processes used, logic applied, and methodologies used for creation, validation, analysis, and visualizations. Write ups shall occur initially, within a week of when process is created, and updated in writing when changes occur.

-Prototype ideas for new ML/AI tools, products and services

-Centralize data collection and synthesis, including survey data, enabling strategic and predictive analytics to guide business decisions

-Provide expert and professional data analysis to implement effective and innovative solutions meshing disparate data types to discover insights and trends.

-Employ rigorous continuous delivery practices managed under an agile software development approach

-Support DevOps practices to deploy and operate our systems

-Automate and streamline our operations and processes

-Troubleshoot and resolve issues in our development, test and production environments

Here are some of the specific technologies and concepts we use:

-Spark Core and Spark Streaming

-Machine learning techniques and algorithms

-Java, Scala, Python, R

-Artificial Intelligence

-AWS services including EMR, S3, Lambda, ElasticSearch

-Predictive Analytics

-Tableau, Kibana

-Git, Maven, Jenkins

-Linux

-Kafka

-Hadoop (HDFS, YARN)

Skills & Requirements:

-3-5years of Java experience, Scala and Python experience a plus

-2+ years of experience as an analyst, data scientist, or related quantitative role.

-2+ years of relevant quantitative and qualitative research and analytics experience. Solid knowledge of statistical techniques.

-Bachelors in Statistics, Math, Engineering, Computer Science, Statistics or related discipline. Master's Degree preferred.

-Experience in software development of large-scale distributed systems including proven track record of delivering backend systems that participate in a complex ecosystem

-Experience with more advanced modeling techniques (eg ML.)

-Distinctive problem solving and analysis skills and impeccable business judgement.

-Experience working with imperfect data sets that, at times, will require improvements to process, definition and collection

-Experience with real-time data pipelines and components including Kafka, Spark Streaming

-Proficient in Unix/Linux environments

-Test-driven development/test automation, continuous integration, and deployment automation

-Excellent communicator, able to analyze and clearly articulate complex issues and technologies understandably and engagingly

-Team player is a must

-Great design and problem-solving skills

-Adaptable, proactive and willing to take ownership

-Attention to detail and high level of commitment

-Thrives in a fast-paced agile environment

About Comcastdx:

Comcastdxis a result driven big data engineering team responsible for delivery of multi-tenant data infrastructure and platforms necessary to support our data-driven culture and organization.dxhas an overarching objective to gather, organize, and make sense of Comcast data with intention to reveal business and operational insight, discover actionable intelligence, enable experimentation, empower users, and delight our stakeholders. Members of thedxteam define and leverage industry best practices, work on large-scale data problems, design and develop resilient and highly robust distributed data organizing and processing systems and pipelines as well as research, engineer, and apply data science and machine intelligence disciplines.

Comcast is an EOE/Veterans/Disabled/LGBT employer

118118Money
  • Austin, TX

Seeking an individual with a keen eye for good design combined with the ability to communicate those designs through informative design artifacts. Candidates should be familiar with an Agile development process (and understand its limitations), able to mediate between product / business needs and developer architectural needs. They should be ready to get their hands dirty coding complex pieces of the overall architecture.

We are .NET Core on the backend, Angular 2 on a mobile web front-end, and native on Android and iOS. We host our code across AWS and on-premises VMs, and use various data backends (SQL Server, Oracle, Mongo).

Very important is interest in (and hopefully, experience with) modern big data pipelines and machine learning. Experience with streaming platforms feeding Apache Spark jobs that train machine learning models would be music to our ears. Financial platforms generate massive amounts of data, and re-architecting aspects of our microservices to support that will be a key responsibility.

118118 Money is a private financial services company with R&D headquartered in Austin along highway 360, in front of the Bull Creek Nature preserve. We have offices around the world, so the candidate should be open to occasional travel abroad. The atmosphere is casual, and has a startup feel. You will see your software creations deployed quickly.

Responsibilities

    • Help us to build a big data pipeline and add machine learning capability to more areas of our platform.
    • Manage code from development through deployment, including support and maintenance.
    • Perform code reviews, assist and coach more junior developers to adhere to proper design patterns.
    • Build fault-tolerant distributed systems.

Requirements

    • Expertise in .NET, C#, HTML5, CSS3, Javascript
    • Experience with some flavor of ASP.NET MVC
    • Experience with SQL Server
    • Expertise in the design of elegant and intuitive REST APIs.
    • Cloud development experience (Amazon, Azure, etc)
    • Keen understanding of security principles as they pertain to service design.
    • Expertise in object-oriented design principles.

Desired

    • Machine Learning experience
    • Mobile development experience
    • Kafka / message streaming experience
    • Apache Spark experience
    • Knowledge of the ins and outs of Docker containers
    • Experience with MongoDB
Ventula Consulting
  • Northampton, UK
  • Salary: £70k - 75k

Lead Software Engineer – Java – Global Bank – Machine Learning / Big Data, to £75k + Exceptional Package


Lead Software Engineer with a strong background in Java development required to join a new innovation focused team working on greenfield projects.


My client is working on a number of cutting edge Machine Learning and AI solutions which are set to revolutionise fraud detection and prevention so this is a great opportunity to make a real impact on the future of Banking technology.


This role would suit a highly ambitious Software Developer who is looking for a genuine challenge.


You will be joining a newly established innovation team within the Bank which consists of highly skilled technical individuals and industry thought leaders.


There is a very real opportunity for rapid career progression into both technical and management focused roles due to the high profile nature of this function.


The ideal Lead Software Engineer will have the following experience:



  • Expert in Java software Development – Java 8 or later versions

  • Experience developing Business Critical systems with low latency performance

  • Development background creating solutions using AWS

  • Any experience in Big Data, MongoDB, Spark, MySQL and React / Node would be nice to have although not a necessity


This role will be based in Northampton and offers a package of between £70-£75k + an exceptional package including Bonus, strong pension, private healthcare and a host of other benefits.

Arcadis
  • Atlanta, GA

Arcadis is seeking a Director of Advanced Analytics to join our North America Digital Team.


The Director of Advanced Analytics (North America) is responsible for the development and implementation of a strategy centered around elevating our current analytics capabilities, identifying use cases within our current business, and identifying new business opportunities anchored around analytics. Together with the core/extended Arcadis Digital team(s) he/she will drive digital change within the organization which includes frequently interacting with Arcadians at all levels from the executive leadership, project managers, and entry level employees in addition to clients by providing technical expertise, guidance, and hands-on support on data processing, analytical models, and visualization techniques.

Key Responsibilities:

Develop capabilities in analytics phases
 

  • Evaluate our existing analytics capabilities and develop a strategy for Analytics in North America, that will create value for our employees, clients, and partners.
  • Develop Arcadiss capabilities in descriptive, predictive, and prescriptive analytics
  • Leading the development of required analytics skills in North America - by a combination of recruiting and training
  • Train our colleagues valuable technical skills on-the-job, which can include data processing, coding models in R, Python, BaysiaLab, etc, creating powerful visualizations and interfaces (e.g. using RShiny or Tableau), and developing the data infrastructure needed


Analytics as a value add to projects
 

  • Advise in the implementation of analytics and data life cycle on projects/programs
  • Capture the resulting insights from the data life cycle
  • Communicate the value of using analytics instead of the traditional way of working
  • Identify where analytics can be used as a differentiator
  • Scope out analytics services and develop monetization strategies
  • Develop powerful use cases, in close collaboration with market leaders and external partners


Advise clients on their analytics journey
 

  • Advising clients on data governance/management
  • Identify new business opportunities with existing and potential clients
  • Participation in design thinking/client visioning workshops


Evangelist/Leader for analytics
 

  • Empower our colleagues to implement analytics on their projects
  • Communicate complex ideas in a simple way using story telling
  • Inspire our colleagues to innovate and adopt of analytics


Develop strategy for analytics on overall business/bring in best practices in analytics
 

  • Integrate yourself within the existing business to evaluate where analytics can be strategically be implemented.
  • Collaborate closely with / support the Chief Digital Officer, North America with taking the lead and providing technical expertise within Analytics
  • Collaborate closely with / support the Global CDO / Analytics team by supporting the development of a global Analytics roadmap and data strategy
  • Participating in regular exchanges with other digital / analytics leaders in other regions


Leadership Requirements
 

  • Proven leadership capabilities
  • Ability to work cross-functionally with all levels of management, both internally and externally.
  • Ability to inspire clients and potential partners with new ideas and discipline combined with pragmatism to implement them rapidly;
  • Ability to develop a plan and approach to strategic problems - communicating and mobilizing teams to deliver against the plan;
  • The ideal candidate: Talented, passionate and high energy leader with a blend of technology/digital savviness and built & natural asset industry knowledge.


Key Requirements
 

  • Deep knowledge and expertise in analytics, including expert knowledge of the common software applications, such as R, Python or database management tools, such as SQL or MongoDB.
  • Complete understanding of cloud technologies
  • Complete understand of data lake implementation and other data governance practices
  • Knowledge of design thinking and client visioning workshops
  • Experience in agile project management and product development


Key Attributes
 

  • Knowledge of best practices in analytics across the industry
  • Broad and strategic perspective on the current and future global technology landscape
  • Credible counterpart for existing or potential partners with strong business acumen combined with solid technical skills;
  • Self-starter, high energy, can work independently and remotely and comfortable with ambiguity;
  • Communication and relationship skills, ability to engage with a broad range of international stakeholders;
  • Ability to work in a global matrix organization and to deal with different cultures worldwide;
  • Proactive, practical, entrepreneurial, open-minded, flexible and creative;
  • Excellent command of English, both spoken and written.
  • Given the international spread of the business a certain level of flexibility in working hours is important.
  • 7+ years of professional experience with an impressive track record in Analytics and bringing data-driven initiatives to success, ideally at the intersection of natural & built assets and analytics/digital


Required Qualifications

  • Masters Degree (preferably in Business Analytics, Data Science or Computer Science) preferred.
  • 10+ years of professional experience with an impressive track record in Analytics


Preferred Qualifications

  • MA/MS/MBA degree from a top-tier university / research institution
American Express
  • Phoenix, AZ

Our Software Engineers not only understand how technology works, but how that technology intersects with the people who count on it every single day. Today, creative ideas, insight and new points of view are at the core of how we craft a more powerful, personal and fulfilling experience for all our customers. So if youre passionate about a career building breakthrough software and making an impact on an audience of millions, look no further.

There are hundreds of chances for you to make your mark on Technology and life at American Express. Heres just some of what youll be doing:

    • Take your place as a core member of an Agile team driving the latest application development practices.
    • Find your opportunity to execute new technologies, write code and perform unit tests, as well as working with data science, algorithms and automation processing
    • Engage your collaborative spirit by Collaborate with fellow engineers to craft and deliver recommendations to Finance, Business, and Technical users on Finance Data Management. 


Qualifications:

  

Are you up for the challenge?


    • 4+ years of Software Development experience.
    • BS or MS Degree in Computer Science, Computer Engineering, or other Technical discipline including practical experience effectively interpreting Technical and Business objectives and challenges and designing solutions.
    • Ability to effectively collaborate with Finance SMEs and partners of all levels to understand their business processes and take overall ownership of Analysis, Design, Estimation and Delivery of technical solutions for Finance business requirements and roadmaps, including a deep understanding of Finance and other LOB products and processes. Experience with regulatory reporting frameworks, is preferred.
    • Hands-on expertise with application design and software development across multiple platforms, languages, and tools: Java, Hadoop, Python, Streaming, Flink, Spark, HIVE, MapReduce, Unix, NoSQL and SQL Databases is preferred.
    • Working SQL knowledge and experience working with relational databases, query authoring (SQL), including working familiarity with a variety of databases(DB2, Oracle, SQL Server, Teradata, MySQL, HBASE, Couchbase, MemSQL).
    • Experience in architecting, designing, and building customer dashboards with data visualization tools such as Tableau using accelerator database Jethro.
    • Extensive experience in application, integration, system and regression testing, including demonstration of automation and other CI/CD efforts.
    • Experience with version control softwares like git, svn and CI/CD testing/automation experience.
    • Proficient with Scaled Agile application development methods.
    • Deals well with ambiguous/under-defined problems; Ability to think abstractly.
    • Willingness to learn new technologies and exploit them to their optimal potential, including substantiated ability to innovate and take pride in quickly deploying working software.
    • Ability to enable business capabilities through innovation is a plus.
    • Ability to get results with an emphasis on reducing time to insights and increased efficiency in delivering new Finance product capabilities into the hands of Finance constituents.
    • Focuses on the Customer and Client with effective consultative skills across a multi-functional environment.
    • Ability to communicate effectively verbally and in writing, including effective presentation skills. Strong analytical skills, problem identification and resolution.
    • Delivering business value using creative and effective approaches
    • Possesses strong business knowledge about the Finance organization, including industry standard methodologies.
    • Demonstrates a strategic/enterprise viewpoint and business insights with the ability to identify and resolve key business impediments.


Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

GrubHub Seamless
  • New York, NY

Got a taste for something new?

We’re Grubhub, the nation’s leading online and mobile food ordering company. Since 2004 we’ve been connecting hungry diners to the local restaurants they love. We’re moving eating forward with no signs of slowing down.

With more than 90,000 restaurants and over 15.6 million diners across 1,700 U.S. cities and London, we’re delivering like never before. Incredible tech is our bread and butter, but amazing people are our secret ingredient. Rigorously analytical and customer-obsessed, our employees develop the fresh ideas and brilliant programs that keep our brands going and growing.

Long story short, keeping our people happy, challenged and well-fed is priority one. Interested? Let’s talk. We’re eager to show you what we bring to the table.

About the Opportunity: 

Senior Site Reliability Engineers are embedded in Big Data specific Dev teams to focus on the operational aspects of our services, and our SREs run their respective products and services from conception to continuous operation.  We're looking for engineers who want to be a part of developing infrastructure software, maintaining it and scaling. If you enjoy focusing on reliability, performance, capacity planning, and the automation everything, you’d probably like this position.





Some Challenges You’ll Tackle





TOOLS OUR SRE TEAM WORKS WITH:



  • Python – our primary infrastructure language

  • Cassandra

  • Docker (in production!)

  • Splunk, Spark, Hadoop, and PrestoDB

  • AWS

  • Python and Fabric for automation and our CD pipeline

  • Jenkins for builds and task execution

  • Linux (CentOS and Ubuntu)

  • DataDog for metrics and alerting

  • Puppet





You Should Have






  • Experience in AWS services like Kinesis, IAM, EMR, Redshift, and S3

  • Experience managing Linux systems

  • Configuration management tool experiences like Puppet, Chef, or Ansible

  • Continuous integration, testing, and deployment using Git, Jenkins, Jenkins DSL

  • Exceptional communication and troubleshooting skills.


NICE TO HAVE:



  • Python or Java / Scala development experience

  • Bonus points for deploying/operating large-ish Hadoop clusters in AWS/GCP and use of EMR, DC/OS, Dataproc.

  • Experience in Streaming data platforms, (Spark streaming, Kafka)

  • Experience developing solutions leveraging Docker

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.
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
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~

UST Global
  • San Diego, CA

KEY SKILLSETS

- 7+ years experience with Python

- 4+ years experience with Java


General Responsibilities
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state of the art methods
- Extending business data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
Skills and Qualifications
- Min 8 yrs of experience
- Hands on experience in Python
- Excellent understanding of machine learning techniques and algorithms.
- Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc Excellence in at least one of these is highly desirable
- Great communication skills
- Experience with data visualization tools, such as GGplot, etc.
- Proficiency in using query languages such as SQL, Hive, Pig
- Experience with NoSQL databases, such as MongoDB
- Good applied statistics skills, such as distributions, statistical testing, regression,

UST Global
  • Atlanta, GA

KEY SKILLSETS

- 7+ years experience with Python

- 4+ years experience with Java


General Responsibilities
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state of the art methods
- Extending business data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
Skills and Qualifications
- Min 8 yrs of experience
- Hands on experience in Python
- Excellent understanding of machine learning techniques and algorithms.
- Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc Excellence in at least one of these is highly desirable
- Great communication skills
- Experience with data visualization tools, such as GGplot, etc.
- Proficiency in using query languages such as SQL, Hive, Pig
- Experience with NoSQL databases, such as MongoDB
- Good applied statistics skills, such as distributions, statistical testing, regression,

GTN Technical Staffing and Consulting
  • Dallas, TX

This position requires a broad array of programming skills and experience as well as the desire to learn and grow in an entrepreneurial environment. You will be responsible for creating and developing client onboarding, product provisioning and real-time analytics software services. You will work closely with other members of the architecture team to make strategic decisions about product development, devops and future technology choices.

The ideal candidate should:

  • Demonstrate a proven track record of rapidly building, delivering, and maintaining complex software products.
  • Possess excellent communication skills.
  • Have high integrity.
  • Embrace learning and have a thirst for knowledge.

Enjoy solving problems and finding generic solutions to challenging situations.

  • Enjoy being a mentor for junior team members.

Be self-motivated to innovate and develop cutting edge technology functionality.

  • Be able to rapidly learn new frameworks.
  • Be responsible for creating and implementing core product architecture. Be comfortable developing frontend and backend solutions.

This position reports directly to the CTO.

Required experience:

7+ years hands-on experience

  • AWS (EC2, Lambda, ECS)
  • Docker/Kubernetes
  • 3+ years programming in Scala
  • 3+ years programming in Node.js
  • ES6/Modern javascript
  • Microservices

Preferred experience:

  • Mongodb
  • SBT
  • Serverless Computing

The ideal candidate will:

  • Possess excellent communication and organization skills
  • Embrace learning and have a thirst for knowledge
  • Rapidly learn new technological paradigms
  • Understand and program in multiple programming languages
  • Enjoy being part of a growing team
  • Self-motivated team player

Benefits

  • Medical / Dental / Vision Insurance
  • 401(k)
  • Competitive compensation
  • Work with leaders in the industry
  • Opportunities to learn and grow every day
  • Play a meaningful role on a successful team
SoftClouds LLC
  • San Diego, CA

Job Overview: SoftClouds is looking for a Data Engineer to join our analytics platform team in designing and developing the next generation data and analytics solutions. The candidate should have deep technical skills as well as the ability to understand data and analytics, and an openness to working with disparate platforms, data sources and data formats.


Roles and Responsibilities:
  • Experience with MySQL, MS SQL Server, or Hadoop, or MongoDB.
  • Writing SQL Queries, tables joins.
  • AWS, python, or bash shell scripting
  • Have some experience pulling data from Hadoop.
  • Analyze data, system and data flows and develop effective ways to store and present data in BI applications
  • ETL experience a plus.
  • Work with data from disparate environments including Hadoop, MongoDB Talend, and other SQL and NoSQL data stores
  • Help develop the next generation analytics platform
  • Proactively ensure data integrity and focus on continuous performance improvements of existing processes.


Required skills and experience:
  • 5  or more years of experience in software development
  • 3 year of experience in writing Data applications using Spark
  • Experience in Java and Python
  • Familiarity  with Agile development methodology `
  • Experience with Scala is a plus
  • Experience with NoSQL databases, e.g., Cassandra is a plus
  • Expertise in Apache Spark & Hadoop.
  • Expertise in machine learning algorithms


Education / Experience:

  • Bachelor's Degree in Engineering or Computer Science or related field required.
  • U.S. Citizens/GC/GC EAD are encouraged to apply. We are unable to sponsor at this time. NO C2C or third-party agencies.