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Staff Data Scientist - Big Data & Discovery

  • GE Oil & Gas
  • Experienced
  • Posted 5/8/2017 3:38:10 PM
  • 2880371
  • Job Function: Digital Technology
  • Business Segment: Oil & Gas Digital
Location(s): United States; California; San Ramon


About Us:
At GE Oil & Gas Digital, we are creating technology and solutions to enable social, mobile, analytical and cloud capabilities for the Industrial Internet. The Industrial Internet is an open, global network that connects people, data and machines. It’s about making infrastructure more intelligent and advancing the industries critical to the world we live in. At GE, we believe it’s about the future of industry—energy, healthcare, transportation, manufacturing. It’s about making the world work better.
GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Role Summary:
We are looking for a highly motivated individual, passionate about technology to join the GE Oil & Gas Digital team. As the Staff Data Scientist – Big Data & Discovery, you will focus on developing impactful and innovative big data analytics products for the O&G industry.

Essential Responsibilities:

You will be responsible for designing analytics for
products, leverage strong machine learning expertise to develop new analytics
for driving growth in asset, application & industry coverage and lead
engagements with external/internal customers. The candidate is also expected to
mentor other engineers in analytics methods.

As the Staff Data Scientist, you will:

  • Work in cross-functional teams to translate big-data
    algorithms into commercially viable products and services.
  • Develop self-learning big-data systems that can autocorrect
    and auto-learn patterns based on multiple data sources
  • Contribute to technical teams in development, deployment and
    application of applied analytics, predictive analytics and prescriptive
    analytics capabilities.
  • Work with the engineering team to incorporate your analyses
    and solutions, including working with the visualization team to create
    intuitive UI and rich UX stories. Partner with data engineers on data quality
    assessment, data cleansing and data analytics efforts
  • Gather and analyze large data sources, devise innovative
    data science solutions and build prototypes to enable development of
    high-performance algorithms in scalable, product-ready code.
  • Build semantic and graph models for knowledge extraction, discovery
    and storage and enable bot-apis
  • Initiate and propose unique and promising modeling features,
    develop new and innovative algorithms and technologies, pursuing patents where
    appropriate
  • Stay current on published state-of-the-art algorithms and competing
    technologies.
  • Contribute to the development of software and data delivery
    platforms that are service-oriented with reusable components across teams
    (multiple teams) that can be orchestrated together into different methods for
    different businesses.
  • Research and evaluate emerging technology, industry and
    market trends to assist in project development and/or operational support
    activities to for multiple teams or complex scenarios.



Qualifications/Requirements:

Basic Qualifications:

  • MS Degree in Computer Science or in “STEM” Majors (Science,
    Technology, Engineering and Math)
  • A minimum of 5 years of technical hands-on coding experience
  • With a minimum of 2yrs as a data scientist.

Eligibility Requirements:

  • Legal authorization to work in the U.S. is required. We will
    not sponsor individuals for employment visas, now or in the future, for this
    job
  • Must be willing to work out of an office located in San
    Ramon, CA
  • Must be willing to travel roughly 5% of the time



Desired Characteristics:

  • PhD in Computer Science or in “STEM” Majors (Science, Technology,
    Engineering and Math)
  • Strong distributed systems and architecture knowledge, and
    experience with multitier architecture
  • Mission critical systems experience is preferred
  • Experience developing applications in an agile/DevOps
    environment would be a distinct advantage

Technical Expertise:

  • Hands-on experience in big data, information retrieval, data
    mining or machine learning (Hadoop, Solr, Hive, HBase, Storm, Spark, Kafka,
    Yarn ,Storm, Splunk, Vertica).
  • Understands the concepts and technology ecosystem around
    both real-time and batch processing in Hadoop (HDFS, MapReduce, Spark, HBase,
    Hive, Beam)
  • Broad understanding of modern cloud computing technologies
    and their tradeoffs
  • Experience working with NoSQL Databases (HBase, Cassandra,
    Couchbase, etc.)
  • Demonstrated ability to develop containerized solutions
    (Docker/Mesos etc)
  • Strong implementation experience with high-level languages
    and frameworks such as R, Python, Perl, Ruby, Scala, Storm, SAS
  • Experienced in implementing Big Data technologies
    successfully in an enterprise;
  • Advanced knowledge in entity and relationship extraction
    from unstructured data;
  • Experienced in developing and integrating software allowing
    for flexible and scalable data transformation with data quality controls.
  • Contribute to the evolving architecture to meet growth
    requirements for scaling, reliability, performance and security. Strong
    hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes
    of data including SQL and NoSQL databases

Business Acumen:

  • Create, analyze and manage projects that provide direct
    business benefit; demonstrate detailed knowledge of business operations and
    strategic direction, including merger & acquisition opportunities
  • Understand industry trends and competitive landscape and the
    implications for your GE business
  • Partner with business leaders to align projects with
    business goals and needs.

Leadership:

  • Recommends allocation of budget to meet architectural
    initiatives critical to business/mission success.
  • Develops the business case for approval.
  • Facilitates dialogues that produce new perspectives and
    trigger recommendations for substantial innovative / enhancements, and analysis
    of consequences.

Personal Attributes:

  • Challenges conventional thinking and traditional ways of
    operating and invites stakeholders to identify issues and opportunities.
  • Takes a holistic systems perspective.
  • Empathizes with multiple points of view
#DTR



Locations: United States; California; San Ramon

GE offers a great work environment, professional development, challenging careers, and competitive compensation.  GE is an Equal Opportunity Employer.  Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
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