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Staff Data Scientist

  • GE Oil & Gas
  • Experienced
  • Posted 5/8/2017 3:46:10 PM
  • 2880365
  • 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, GE Oil & Gas Digital, you will focus on developing impactful and innovative analytics products for the O&G industry.

Essential Responsibilities:

The candidate will be responsible for designing analytics
for products and solutions, 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 algorithms into
    commercially viable products and services.
  • Contribute to technical teams in development, deployment and
    application of applied analytics, predictive analytics and prescriptive
    analytics capabilities.
  • Develop self-learning systems that can predict failures and
    autocorrect based on multiple data sources
  • 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 data, devise innovative data science
    solutions and build prototypes to enable development of high-performance
    algorithms in scalable, product-ready code.
  • 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
  • Solid understanding of software development tools &
    infrastructure

Technical Expertise:

  • Proven experience coding in Machine Learning/AI techniques
    including Support Vector Machines; Regularization Techniques; Boosting, Random
    Forests, Ensemble Methods, image/video/audio processing, Bayesian modeling,
    time series modeling
  • 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, Apache Spark, Storm, SAS
  • Demonstrated ability to work with a variety of Deep learning
    frameworks including TensorFlow, Caffe, CNTK
  • Strong hands-on skills in sourcing, cleaning, manipulating
    and analyzing large volumes of data including SQL and NoSQL databases
  • Experience with end-to-end modeling projects, from research
    to solutions to analytic products
  • Participates in enterprise strategy development, including
    environmental analysis, opportunity identification, value cases and business
    innovation portfolio development. Reviews and/or analyzes and develops
    architectural requirements at domain level, aligning architectural requirements
    with software development strategy.
  • Leads and facilitates the domain’s architecture governance
    process based on EA’s governance structure.

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

Leadership:

  • Recommends allocation of budget to meet architectural
    initiatives critical to business/mission success.
  • Develops the business case for approval.
  • Provides leadership, technology guidance and mentors others
    throughout their domain.
  • 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.

#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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