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 for maximum impact.
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 as needed.
Develop and present compelling data-driven narratives/documents/visuals to influence key stakeholders in their decision-making.
Provide coaching and training support to other team members in the supply chain area, leveraging your expertise in advanced data analytics.
What Youll bring :
Strong analytical acumen with technical expertise in Advanced Data Analytics and modelling
Expert in SQL, - BigQuery like cloud data platforms.
Expert in programming in Python, (or R)
Experience in using data visualization tools like Tableau and Looker and be able to drive powerful insights.
Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, and/or Spark)
Experience in operating from a cloud environment such as Google Could Platform or Microsoft Azure.
Ability to work in a fast-paced, iterative development environment.
Strong communication skills, both written and verbal, plus 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 cross-functional environment and leading or mentoring teams.
Job Classification
Industry: Retail Functional Area / Department: Data Science & Analytics Role Category: Data Science & Machine Learning Role: Data Scientist Employement Type: Full time