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.
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.
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.
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
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
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.
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
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.
Challenges conventional thinking and traditional ways of operating and invites stakeholders to identify issues and opportunities.
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