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Baker Hughes

Senior Specialist – Data Science

Baker Hughes

Senior Specialist in Data Science at Baker Hughes responsible for developing analytics solutions. Collaborating on analytics use cases and applying advanced data science methods.

Posted 7/7/2026full-timeMumbai • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Develop analytics solutions offered as part of Cordant applications.
  • Work closely with SMEs, Engineering, Product, and Commercial teams to grasp analytics use case problem statements.
  • Analyze challenges from a domain perspective and recommend data science, statistical, or AI-driven solutions.
  • Design and implement analytics solutions by applying advanced data science and statistical methods.
  • Establish measurable outcomes and model metrics to enhance accuracy and reliability.
  • Conduct exploratory analysis on large, complex datasets—cleaning, preprocessing, validating data, and identifying patterns and trends.
  • Uphold data quality, governance, privacy standards, and advocate for the ethical use of data and AI.
  • Build scalable, efficient analytics models in partnership with Data, Platform, and ML Engineers.
  • Present insights clearly to stakeholders and leadership through visualizations, reports, and presentations detailing methodology, findings, and hypotheses.

Requirements

What you’ll need
  • Hold a master’s or bachelor’s degree in computer science or a STEM field.
  • Have 7-10 years of experience in analytics, including 3+ years working on enterprise-scale solutions.
  • Experience in Time Series Data.
  • Demonstrate expertise in AI/ML, statistical methods, LLM, and Gen AI analytics, Python, and related libraries.
  • Apply OOP concepts for analytics development.
  • Show familiarity with MLOps and model lifecycle management.
  • Work independently and drive outcomes.
  • Exhibit a critical system thinking and problem-solving mindset.
  • Effectively explain analytical ideas to non-technical audiences.

Benefits

Comp & perks
  • Contemporary work-life balance policies and wellbeing activities.
  • Comprehensive private medical care options.
  • Safety net of life insurance and disability programs.
  • Tailored financial programs.
  • Additional elected or voluntary benefits.

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Hard Skills & Tools
Data ScienceStatistical MethodsAI/MLPythonOOP ConceptsAnalytics DevelopmentModel Lifecycle ManagementData CleaningExploratory Data AnalysisData Governance
Soft Skills
Problem-SolvingCritical ThinkingCommunication
Certifications
Bachelor’s Degree in Computer ScienceMaster’s Degree in STEM Field