Senior Specialist – Data Science

Baker Hughes; Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Flexible working hours

Comprehensive private medical care options

Life insurance and disability programs

Job summary

Baker Hughes in Mumbai is seeking a Senior Specialist – Data Science to develop analytics solutions for their Cordant applications. This role requires collaboration with SMEs, Engineering, and Product teams to solve real-world problems through data science.

The ideal candidate will possess a master's or bachelor's degree in a STEM field and have 5-7 years of analytics experience. Benefits include flexible hours and comprehensive medical care options.

Qualifications

• 5-7 years of experience in analytics, including 3+ years on enterprise-scale solutions.
• Experience in LLM and Gen AI analytics.
• Ability to explain analytical ideas to non-technical audiences.

Responsibilities

• Work closely with teams to understand analytics use-case problem statements.
• Analyze challenges and recommend data-driven solutions.
• Conduct exploratory analysis on large, complex datasets.

Skills

AI/ML expertise

Statistical methods

Python

Data governance

Model lifecycle management

Education

Master's or Bachelor's degree in computer science or STEM

Job description

Senior Specialist – Data Science

Baker Hughes is a leading energy technology company that delivers solutions across the energy value chain. With more than a century of experience and operations in over 120 countries, our innovative technologies and services are driving energy forward – making it safer, cleaner, and more efficient for people and the planet.

As a Senior Specialist – Data Science, you will play a vital role in developing analytics solutions that are part of our Cordant applications. You will combine strong data science and statistical skills with hands‑on experience creating analytics that solve real‑world problems at scale.

Responsibilities

• Work closely with SMEs, Engineering, Product, and Commercial teams to understand 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 using advanced data‑science and statistical methods.
• Establish measurable outcomes and model metrics to improve 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 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.

Qualifications

• Hold a master’s or bachelor’s degree in computer science or a STEM field.
• Have 5‑7 years of experience in analytics, including 3+ years working on enterprise‑scale solutions.
• Demonstrate expertise in AI/ML, statistical methods, LLM, 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

• Flexible working hours – flex times to fit your most productive periods.
• Contemporary work‑life balance policies and wellbeing activities.
• Comprehensive private medical care options.
• Life insurance and disability programs.
• Tailored financial programs.
• Additional elected or voluntary benefits.

The Baker Hughes internal title for this role is: Digital Technology Senior Specialist – Data Science.

Baker Hughes 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.