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Principal Data Scientist

  • Job Function: Digital Technology
  • Experience Level: Experienced
  • Posted Date: 2/21/2018 4:47:58 AM
  • Job #: 3064930
  • Location(s): Russian Federation; Moscow

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

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

Successful candidate will
be employed under local employment conditions and must already satisfy local
employment/work permit and residency regulations.

Locations: Russian Federation; Moscow

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