Data Scientist

Walmart

Staff Data Scientist at Walmart applying statistical modeling and ML to enhance business processes. Collaborating across teams to develop scalable models and improve data science practices.

Posted 7/30/2026full-timeBangalore • 🇮🇳 IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical modeling techniques, machine learning, and data science, with a strong focus on continuous improvement and integration into business processes. Proven ability to mentor teams, manage multiple projects, and influence business decisions through data-driven insights.

Highest-signal resume keywords

Statistical Modeling TechniquesMachine Learning ResearchData Science Solutions IntegrationMentoring and Team DevelopmentBusiness Stakeholder Consultation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Deep Neural NetworksBayesian ModelsOptimization MethodsMachine Learning TechniquesData Science Best PracticesProcess Standards DevelopmentAlgorithm-Based RecommendationsModel Goodness MetricsPerformance EvaluationContinuous Improvement

Soft Skills

Team BuildingCoaching for SuccessAdaptabilityCommunicationInfluencing

Industry Keywords

Retail IndustryCommunity OutreachBusiness PlansPerformance StandardsData ScienceMachine LearningE-CommerceResearch ConferencesTechnical SummitsEthics and Integrity

About the role

Key responsibilities & impact

Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning.
Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and promoting a belonging mindset in the workplace.
Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness; and participating in and supporting community outreach events.
As a Staff Data Scientist for Walmart, you’ll have the opportunity to apply and/or develop statistical modelling techniques (such as deep neural networks and Bayesian models), optimization methods and other ML techniques. Develop efficient and scalable models at Walmart scale. Collaborate with counterparts in business, engineering, and science to find impactful solutions to business problems. Define and/or own the model goodness metrics and track the business impact over time. Present recommendations from complex analysis to business partners in clear and actionable form, influencing the future.

Requirements

What you’ll need

PhD with >5 years of relevant experience / 4-year bachelor’s degree with > 10 years of experience / Master’s degree with > 8 years of experience.
Educational qualifications should be preferably in Computer Science or a strongly quantitative discipline.
Manage the continuous improvement of data science and machine learning by following industry best practices and staying up to date with and extending the state-of-the-art in Machine Learning Research.
Integrate data science solutions into current business processes.
Develop and recommend process standards and best practices in Machine Learning as applicable to the retail industry.
Mentor peers and junior members and handle multiple projects at the same time.
Consult with business stakeholders across stores and e-commerce businesses regarding algorithm-based recommendations and be a thought-leader to develop these into business actions.
Engage and partner with universities, institutes, and vendor partners to bring in ideas and innovation into the lab’s environment.
Peer review and publish work in top tier ML/AI conferences such as NIPS, ICML, AAAI and COLT.
Participate and speak at various external forums such as research conferences and technical summits.
Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

Benefits

Comp & perks

Beyond our great compensation package, you can receive incentive awards for your performance.
Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.