Baker Hughes

Energy Technology

SeniorSpecialist-DataScience

₹22–35L ~AI est. India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Specialist - Data Science at Baker Hughes. Skills: Data Science, AI/ML, Statistical Methods. Grasp analytics use case problem statements. Analyze challenges from a domain perspective”

Industry & Context.

Energy Technology
Problems you'll solve

Problem-solving mindset

What They're Looking For.

Must Have

Master's or bachelor's degree in computer science or STEM, 5-7 years of experience in analytics, 3+ years working on enterprise-scale solutions, Expertise in AI/ML, Expertise in statistical methods, Expertise in LLM, Expertise in Gen AI analytics, Expertise in Python, Expertise in related libraries, Apply OOP concepts for analytics development, Familiarity with MLOps, Familiarity with model lifecycle management, Work independently, Drive outcomes, Critical system thinking, Problem-solving mindset, Explain analytical ideas to non-technical audiences

Nice to Have

PhD preferred

What You'll Do.

Grasp analytics use case problem statements

Analyze challenges from a domain perspective

Recommend data science solutions

Recommend statistical solutions

Recommend AI-driven solutions

Design analytics solutions

Implement analytics solutions

Apply advanced data science methods

Apply advanced statistical methods

Establish measurable outcomes

Establish model metrics

Conduct exploratory analysis

Uphold data quality standards

Uphold data governance standards

Uphold data privacy standards

Advocate for ethical use of data

Advocate for ethical use of AI

Build scalable analytics models

Build efficient analytics models

Present insights clearly to stakeholders

Present insights clearly to leadership

How You'll Work.

Team & Collaboration

SMEs; Engineering teams; Product teams; Commercial teams; Data Engineers; Platform Engineers; ML Engineers

Communication Scope

Presenting insights; Visualizations; Reports; Presentations

Full Job Description

**Senior Specialist - Data Science** **Are you a highly motivated, creative individual and passionate about sales and proposals?** **Would you like to be a part of successful team?** **Join our team!** Baker Hughes is the leading energy technology company, who delivers across the energy value chain through our market-leading business segments. Built on a century of experience and conducting business in over 120 countries. Our innovative technologies and services are taking energy forward! Making it safer, cleaner and more efficient for people and the planet. **Partner with the best** As a Senior Specialist - Data Science, you will play a vital role in developing analytics solutions offered as part of Cordant applications. Ideal candidate will combine strong data science, statistical skill and hands on experience with developing analytics to solve real-world issues on a scale. As a **Senior Specialist – Data Science** , you will also be responsible for: * Work closely with SMEs, Engineering, Product, and Commercial teams to grasp analytics use case problem statements. * Analyze these 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. **Fuel your passion!** To be successful in this role you will: * Hold a master’s or bachelor’s degree in compute

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