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Data Science Specialist

AT GE Vernova
GE Vernova

Data Science Specialist

Bangalore, India

Job Description Summary

The Data Science Specialist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you 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.

Job Description

Roles and Responsibilities

As a Data Science Specialist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.

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In this role, you will:
• Develop analytics within well-defined projects to address customer needs and opportunities.
• Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
• Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
• Perform exploratory and targeted data analyses using descriptive statistics and other methods.
• Work with data engineers on data quality assessment, data cleansing and data analytics
• Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
• Share and discuss findings with team members.

Education Qualification

For roles outside USA:

Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with basic experience.

For roles in USA:Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with minimum years of experience0years

Desired CharacteristicsTechnical Expertise:
• Demonstrated skill in the use of descriptive statistics to assess quality of industrial datasets
• Experience applying predictive or prescriptive analytics to industrial applications
• Demonstrated awareness of data visualization and storytelling methods for conveying information to stakeholders.

Leadership:
• Demonstrated awareness of how to function in a team setting

Personal Attributes:
• Demonstrated awareness of how to leverage curiosity and creativity to drive business impact

Note

Note:
To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used.

This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.

Additional Information

Relocation Assistance Provided: Yes

Client-provided location(s): Bengaluru, Karnataka, India; Hyderabad, Telangana, India
Job ID: GE_power-1839735
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Adoption Assistance Program
    • Family Support Resources
    • Birth Parent or Maternity Leave
    • Adoption Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Summer Fridays
  • Financial and Retirement

    • 401(K)
    • Stock Purchase Program
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
    • Profit Sharing
  • Professional Development

    • Tuition Reimbursement
    • Access to Online Courses
    • Lunch and Learns
    • Leadership Training Program
    • Internship Program
    • Associate or Rotational Training Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Unconscious Bias Training

Company Videos

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