(IND) STAFF, DATA SCIENTIST

About the Role

The Centroid team at Walmart Global Tech India serves as the backbone of Walmart's end-to-end supply chain strategy. They are responsible for designing and implementing a long-term supply chain strategy that uses advanced data analytics and data science. Their objective is to ensure top-tier customer service, support increasing demand, and operate at low and efficient costs. The team uses sophisticated data analysis methods to understand patterns, identify bottlenecks, and predict future trends to optimize processes and enhance operational efficiency. A key responsibility is the creation of a Digital Twin Simulation platform for Walmart's supply chain, allowing for the testing and validation of future strategies and tactical decisions.

Key Responsibilities

• Develop and manage advanced data analytics models to optimize supply chain strategies, balancing customer satisfaction with operational cost and asset efficiency.
• Leverage data analytics to identify opportunities for improvement and drive impactful results through collaboration with cross-functional teams.
• Establish relationships across Walmart functional areas to identify best practices, solicit data/input, coordinate interdisciplinary initiatives, and rally support for data-driven recommendations.
• Secure alignment and support from relevant business partners and management for data-centric projects, leading discussions to drive necessary change.
• Utilize all available data resources effectively to ensure successful project outcomes.
• Communicate data insights clearly and persuasively through emails, verbal discussions, and presentations, tailoring communication methods to the audience.
• Collaborate with multiple supply chain business teams to proactively identify, assess, and leverage cost-saving and service improvement opportunities through advanced data analytics.
• Utilize advanced analytics models to derive insights that will inform policy design across various supply chain areas, laying out multiple scenarios and performing sensitivity analysis.
• Collaborate with Data Scientists and Engineers to productionize and scale advanced analytics models.
• Develop and present compelling data-driven narratives, documents, and visuals to influence key stakeholders in their decision-making.
• Provide coaching and training support to other team members in the supply chain area, leveraging expertise in advanced data analytics.

Requirements & Tech Stack

• Strong analytical acumen with technical expertise in Advanced Data Analytics and modelling.
• Expert in SQL, particularly cloud data platforms like BigQuery.
• Expert in programming in Python (or R).
• Experience in using data visualization tools like Tableau and Looker.
• Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, and/or Spark).
• Experience operating from a cloud environment such as Google Cloud Platform or Microsoft Azure.
• Ability to work in a fast-paced, iterative development environment.
• Strong communication skills, both written and verbal.
• Ability to work with cross-functional teams of technical and non-technical members.
• Strong ability to understand the business and have good stakeholder management capabilities.
• Experience of working in a cross-functional environment and leading or mentoring teams.

Qualifications

Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.

Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field.

Option 3: 6 years' experience in an analytics or related field.