General Electric Principal Data Scientist in Moscow, Russia

About Us:

GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.

Role Summary:

We are looking for a highly motivated individual, passionate about technology to join the GE Oil & Gas Digital team. As the 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 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.

• 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.


• BS Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math)

• Minimum 1 year analytics development in a commercial setting


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in both Russian and English languages

Desired Characteristics:

• Demonstrated skill in data management methods and analytic scaling

• Demonstrated skill in solutions integration

• Demonstrated skill in the use of one or more analytic

software tools or languages (e.g., Python, R, Matlab, C, C++)

• Demonstrated skill at data cleansing, data quality

assessment, and using analytics for data assessment

• Demonstrated skill in the use of applied analytics,

descriptive statistics, and predictive analytics on industrial datasets

• MS 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

• Demonstrates expertise in problem solving and technical


• Demonstrated experience of delivering on commitments to


• Works well in fast paced growing environment

• Effective teaming and problem solving abilities

• Strong interpersonal and leadership skills

Technical Expertise:

• Demonstrated experience coding in some of the 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 awareness to containerized solutions

(Docker/Mesos etc)


• Demonstrated awareness of how to function in a team setting

• Demonstrated awareness of critical thinking and problem

solving methods

• Demonstrated awareness of presentation skills

Personal Attributes:

• Demonstrated awareness of how to leverage curiosity and

creativity to drive business impact


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mso-fareast-language:EN-US;mso-bidi-language:AR-SA">Successful candidate will

be employed under local employment conditions and must already satisfy local

employment/work permit and residency regulations.

Locations: Russian Federation; Moscow

GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at . 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.