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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing analytics solutions using advanced data science and statistical methods, with a strong focus on AI/ML, Python, and enterprise-scale analytics. Capable of presenting insights effectively to stakeholders while upholding data quality and ethical standards.

Highest-signal resume keywords

AI/ML ExpertiseStatistical MethodsPython ProgrammingTime Series Data AnalysisMLOps Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceStatistical MethodsAI/MLPythonOOP ConceptsAnalytics DevelopmentModel Lifecycle ManagementData CleaningExploratory Data AnalysisData Governance

Soft Skills

Problem-SolvingCritical ThinkingCommunication

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMaster’s Degree in STEM Field

Industry Keywords

Enterprise-Scale SolutionsData QualityData PrivacyEthical Use of DataAnalytics Models

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.