Principal, Data Scientist

Walmart

. Drive high-impact data science initiatives across recommendations, customer voice, market research, product innovation, segmentation, forecasting, measurement, and decision intelligence .

Posted 10/13/2026full-timeBangalore • IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates deep expertise in data science, statistics, and machine learning, with a strong ability to design experiments and communicate insights effectively. Proficient in building and deploying production-quality data science solutions while mentoring team members in coding and analytical storytelling.

Highest-signal resume keywords

Data Science ExpertiseMachine Learning SolutionsPython Coding SkillsExperiment DesignMentoring and Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceStatisticsMachine LearningExperimentationCausal InferenceA/B TestingUplift ModellingPredictive ModellingCausal MeasurementAnalytical Storytelling

Soft Skills

Business JudgmentCommunication Skills

Tools & Technologies

AI-Assisted Coding ToolsEmerging AI Architectures

Industry Keywords

AnalyticsDecision IntelligenceMarket ResearchSegmentationForecastingMeasurement

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Drive high-impact data science initiatives across recommendations, customer voice, market research, product innovation, segmentation, forecasting, measurement, and decision intelligence
Frame ambiguous business questions as testable hypotheses with clear metrics and decision criteria
Build, validate, deploy, monitor, and improve predictive, causal, and machine learning solutions
Design experiments and causal measurement approaches, including A/B tests, uplift modelling, difference-in-differences, and synthetic control
Work with agentic AI teams to answer questions about measurement, impact, and causal drivers
Mentor team members on coding, modelling, visualization, and analytical storytelling
Communicate insights to influence decisions and drive business value

Requirements

What you’ll need

Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 5 years’ experience in an analytics-related field; OR Master’s degree in one of these fields and 3 years’ experience; OR 7 years’ experience in an analytics or related field
Deep expertise in data science, statistics, machine learning, experimentation, measurement, and causal inference
Strong Python coding skills
Experience building production-quality data science solutions
Experience deploying, monitoring, and improving models or decision tools with engineering teams
Familiarity with emerging agentic AI architectures, systems, and evaluation patterns
Experience using AI-assisted coding and engineering tools
Ability to mentor others on coding, modelling, visualization, and analytical communication
Strong business judgment and communication skills
Ability to work in the Bangalore office for daily work

Benefits

Comp & perks

Incentive awards for performance
Maternity and parental leave
PTO
Health benefits
Flexible work arrangements to manage personal lives