Job Overview
Walmart is looking for a Staff Data Scientist to join its Centroid team in Bangalore, India. This role focuses on developing advanced data analytics models to optimize Walmart’s supply chain strategies, ensuring efficiency while improving customer satisfaction. You will play a key role in designing predictive solutions, creating digital twin simulations, and collaborating with cross-functional teams to deliver data-driven strategies for one of the world’s largest retailers.
Job Details
Company: Walmart Global Tech
Job Position: Staff Data Scientist
Location: Bangalore, India
Qualification: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field with 4+ years of experience; OR Master’s degree with 2+ years of experience; OR 6+ years of relevant analytics experience
Salary: ₹35 – ₹45 LPA (estimated, based on Bangalore market for staff-level data science roles)
Key Responsibilities
- Develop and manage advanced data analytics models for supply chain optimization.
- Leverage large-scale data to identify opportunities and drive improvements.
- Collaborate with cross-functional teams to ensure data-driven recommendations are implemented.
- Create predictive models for customer demand, cost efficiency, and asset utilization.
- Build digital twin simulations to test supply chain strategies before execution.
- Conduct sensitivity analyses and design multiple business scenarios.
- Translate data insights into clear, persuasive business narratives.
- Productionize and scale data models with engineering teams.
- Identify process inefficiencies and recommend optimizations.
- Secure buy-in from business stakeholders for analytics-driven projects.
- Mentor and coach team members in data science practices.
- Partner with supply chain teams to enhance cost savings and service performance.
- Support automation initiatives through advanced data science techniques.
- Communicate insights effectively using Tableau, Looker, and other visualization tools.
- Contribute to continuous improvement of Walmart’s global supply chain strategy.
Required Skills and Knowledge
- Strong analytical and problem-solving skills.
- Expertise in Python or R programming.
- Proficiency in SQL and cloud data platforms like BigQuery.
- Experience with Hadoop, Spark, or distributed data frameworks.
- Strong knowledge of data visualization (Tableau, Looker).
- Hands-on experience with cloud platforms (GCP, Azure).
- Ability to work with large and complex datasets.
- Excellent verbal and written communication skills.
- Ability to collaborate with technical and non-technical teams.
- Solid stakeholder management skills.
- Experience mentoring or leading small teams.
- Business acumen to link analytics with strategic goals.
- Ability to deliver results in fast-paced environments.
- Familiarity with supply chain or operations analytics preferred.
- Knowledge of applied statistics and modeling techniques.
About Walmart Global Tech
Walmart Global Tech is the technology division of Walmart, the world’s largest retailer. With over 2 million associates worldwide, Walmart serves hundreds of millions of customers every week. Global Tech teams design innovative solutions in data science, software engineering, and cybersecurity to revolutionize retail operations. By creating scalable technologies, Walmart Global Tech ensures efficiency, sustainability, and improved customer experiences across its global footprint.
Why Join Walmart Global Tech
- Work on high-impact projects that affect millions of customers worldwide.
- Be part of one of the world’s largest and most advanced supply chains.
- Collaborate with diverse, global teams of data scientists and engineers.
- Opportunity to experiment with cutting-edge AI/ML and cloud technologies.
- Access to robust training and continuous learning programs.
- Competitive compensation and performance-based incentives.
- Hybrid work environment for flexibility.
- Best-in-class benefits, including health, parental leave, and PTO.
- Strong culture of inclusion and belonging.
- Exposure to large-scale, real-world business challenges.
- Career growth across global offices and roles.
- Recognition and rewards for innovation and performance.
- Leadership development and mentoring opportunities.
- Work in a people-led, tech-empowered environment.
- Be part of an organization redefining the future of retail with data science.
Important Links
Apply Link: Click here