SENIOR, DATA SCIENTIST

Walmart

4 - 9 years

50 - 55 Lacs

bengaluru

Posted:1 week ago| Platform:

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Skills Required

supply chain computer science gcp analytical continuous improvement monitoring analytics sql python logistics

Work Mode

Work from Office

Job Type

Full Time

Job Description

Analyze complex business problems related to cost-to-serve optimization, delivery speed, customer and driver experience.
Conduct scoping, research, and quantitative analysis, including scenario modelling, experimentation, and business case development.
For candidates with a data-science focus: design and deploy predictive models, ML algorithms, simulations, and AI-enabled tools to optimize driver supply, batching, routing, and catchment strategies.
For candidates with a strategy focus: drive problem-framing, solution design, and pilot execution, translating data-driven insights into scaled operational initiatives.
Collaborate with cross-functional partners (Operations, Finance, Tech, Product) to align on priorities and execute initiatives.
Build and maintain KPI definitions, dashboards, and reporting frameworks to track progress and ensure visibility of outcomes.
Present clear, data-driven insights and recommendations to leadership, influencing decision-making and guiding trade-offs.
Contribute to a culture of rigorous problem-solving, innovation, and continuous improvement.

What Youll bring:

4-9 years of relevant experience:
Strategy Track: management consulting or corporate strategy / business operations.
Data Science Track: hands-on experience in data science / advanced analytics; MS/PhD in Data Science, Compute Science, Operational Research (preferred)
Strong analytical and problem-solving skills; ability to structure ambiguous problems and derive actionable insights from large datasets.
Proficiency in tools relevant to your focus area:
Strategy: Excel / SQL / visualization tools (preferred).
Data Science: Python (or R), SQL, cloud-based data platforms (e.g., Big Query, GCP, Azure), plus experience with experimentation and distributed computing (e.g., Spark, Hive).
Capacity to thrive in a fast-paced, evolving environment, managing multiple priorities with high attention to detail.
Strong collaboration and stakeholder-management skills, with the ability to work closely with both technical and non-technical partners.
Excellent written and verbal communication skills for presenting insights and recommendations to senior leaders.
(Preferred) Prior exposure to logistics, supply-chain, or last-mile delivery operations.

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