Senior Specialist – Data Science

Baker Hughes

. Develop analytics solutions offered as part of Cordant applications .

Posted 10/9/2026full-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 and model lifecycle management. Capable of presenting insights effectively to stakeholders while ensuring data quality and ethical standards.

Highest-signal resume keywords

AI/ML ExpertisePython ProficiencyTime Series Data AnalysisEnterprise-Scale Solutions ExperienceStatistical Methods Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceStatistical MethodsAnalytics DevelopmentOOP ConceptsExploratory Data AnalysisModel Metrics EstablishmentData CleaningData GovernanceMLOps FamiliarityPattern Identification

Soft Skills

Critical ThinkingProblem-SolvingIndependent WorkCommunication Skills

Certifications & Qualifications

Master’s Degree in Computer ScienceBachelor’s Degree in STEM Field

Industry Keywords

Analytics SolutionsEnterprise SolutionsData QualityPrivacy StandardsEthical Use of Data

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Develop analytics solutions offered as part of Cordant applications
Work with SMEs, Engineering, Product, and Commercial teams to understand analytics use cases
Analyze domain challenges 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, including cleaning, preprocessing, validation, and pattern identification
Uphold data quality, governance, privacy standards, and ethical use of data and AI
Build scalable analytics models with Data, Platform, and ML Engineers
Present insights to stakeholders and leadership through visualizations, reports, and presentations

Requirements

What you’ll need

Master’s or bachelor’s degree in computer science or a STEM field
7–10 years of experience in analytics
3+ years working on enterprise-scale solutions
Experience in Time Series Data
Expertise in AI/ML, statistical methods, LLM, and Gen AI analytics
Proficiency in Python and related libraries
OOP concepts for analytics development
Familiarity with MLOps and model lifecycle management
Ability to work independently and drive outcomes
Critical system thinking and problem-solving mindset
Ability to explain analytical ideas to non-technical audiences

Benefits

Comp & perks

Working flexible hours
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
Training and talent development
Leadership development opportunities