Company: Baker Hughes, a GE Company
Skills: IT - Analysis & Management
Experience: 8 + Years
Education: Bachelors/3-5 yr Degree
Employment Type: Full Time Salaried Employee
Location: Bengaluru, Karnataka, India

In order to apply for this position, applicants MUST meet the following criteria. If your resume does not match these criteria, you will not be able to apply for this position.

About Us:

Baker Hughes, a GE company (NYSE:BHGE) is the world's first and only fullstream provider of integrated oilfield products, services and digital solutions. Drawing on a storied heritage of invention, BHGE harnesses the passion and experience of its people to enhance productivity across the oil and gas value chain.

BHGE helps its customers acquire, transport and refine hydrocarbons more efficiently, productively and safely, with a smaller environmental footprint and at lower cost per barrel. Backed by the digital industrial strength of GE, the company deploys minds, machines and the cloud to break down silos and reduce waste and risk, applying breakthroughs from other industries to advance its own.

People are a key part of our success and how we do business; hence, we invest in our 64,000+ employees in over 120 countries. Fostering a diverse and inclusive workforce is not just the right thing to do, but critical to achieving a competitive advantage.

Follow Baker Hughes, a GE company on Twitter @BHGECo, or visit us at

Role Summary:The Staff Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, they will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.
Essential Responsibilities:The Staff Data Scientist will be part of a data science or cross-disciplinary team, typically including
statisticians, computer scientists, software developers, engineers, product managers, and end
users, working in concert with partners in BHGE. Potential application areas include remote
monitoring and diagnostics across infrastructure and industrial sectors, and business operations
optimization. The data scientist will lead engagements with internal/external customers, and
develop analytics within defined business objectives to address customer needs and opportunities.
The work will involve a range of activities, including but not limited to:
  • Working with business stakeholders to understand the business problem/requirements and
    helping define analytic objectives
  • Forming hypotheses, exploratory data analysis, generating insights and validating the hypothesis,
  • Working with engineering teams to incorporate analyses and solutions, including working with
    data engineers on data quality assessment, data cleansing and data analytics efforts, and
    visualization team on representing results
  • Developing re-usable components that can be applied to similar problem classes across contexts
  • Qualifications/Requirements:
  • Bachelor's Degree in a STEM major (Science, Technology, Engineering, Mathematics)
  • Minimum 8 years analytics development in a commercial setting
  • Demonstrated skill in the use of one or more analytic software tools or languages (e.g., R,
  • Demonstrated skill at data cleansing, data quality assessment, and using analytics for data
  • Demonstrated skill in the use of applied analytics, descriptive statistics, and predictive analytics
    on industrial datasets
  • Demonstrated skill in modeling techniques, including but not limited to Predictive modeling,
    Supervised learning, Unsupervised learning, Machine Learning, Statistical Modeling
  • Demonstrated skill in analytic prototyping, analytic scaling, and solutions integration
  • Strong communication & visualization skills to help stakeholders define requirements, and explaining data
    science outcomes to non-expert audiences
  • Generating insights for a business context

  • Desired Characteristics:
  • Strong background in working across teams in a matrixed environment
  • High comfort levels with operating in ambiguity
  • High levels of curiosity & creativity to drive business impact

  • This is your opportunity to learn more, do more, live the career you have imagined and be part of a truly diverse organization.

    Baker Hughes, a GE company 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. Learn more