DATA SCIENTIST Opportunity 2025 | Walmart is hiring DATA SCIENTIST. The working location is BANGALORE, India. Interested candidates can apply online as soon as possible. The detailed eligibility and application process are given below.
DATA SCIENTIST Job Openings At Walmart | BANGALORE – Overview
| Company Name: | Walmart |
| Job Role: | DATA SCIENTIST |
| Location: | BANGALORE |
| Work Mode: | HYBRID |
| Last Date to Apply: | ASAP |
Job Description
- Centroid team at Walmart serves as the backbone of Walmart’s end-to-end supply chain strategy. They are entrusted with the task of designing and implementing a long-term supply chain strategy that uses advanced data analytics and data science. Their primary objective is to ensure that Walmart provides top-tier customer service while supporting the increasing demand over time and simultaneously operating at low and efficient costs.
Skills Required:
- 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.
Responsibility
- 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.
