Want to use your Data Science skills to shape the next generation of inventory allocation strategy for Walmart Fulfillment Services (WFS)?
The Senior Data Scientist is a critical thought-leadership role that helps to shape the next generation of WFS inventory allocation and mirroring strategy to lower costs and improve quality and speed of fulfillment operations. This individual will work closely with cross-functional teams including Account Management, Fulfillment Center Operation, and other internal and external analytics teams. The right candidate must be able to thrive and succeed in a startup environment. Strong analytical and data modeling, communication and storytelling, and ability to balance short-term and long-term strategies are essential to success in this role.
You’ll sweep us off our feet if…
Creative problem solver: someone who can operate with minimal direction. Constantly monitoring the business and identifying new opportunities with proposed solutions. Will ask the right questions and think about how to solve the problem with limited resources available. Knowing when to trade off long term outlook for short term wins and vice versa.
Model Development: with strong data science background and a deep understanding of supply chain, builds and manages part of the development and implementation of data models/ algorithms. Focus on projects within a business area or category to help to direct proof of concept and prototype, implement algorithms, and track and improve performance.
Storytelling with Data: helps to prepare and deliver simple and compelling data driven presentations to communicate analytical stories to cross-functional partners (e.g., software engineering, account management, product managers) to gain buy-in and typically present work up to senior leadership in analytics.
Continuous Improvement: develops the framework of performance tracking and drives the continuous improvement of models/algorithms.
Collaboration: identifies use cases through cross-functional teams across the organization (e.g., categories, customer support, supply chain operation) and partners with senior leadership in analytics to develop and implement data analysis strategies and anticipate future trends and analysis.
You’ll make an impact by:
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 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 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.
As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.
Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)
850 Cherry Avenue, San Bruno, CA 94066-3031, United States of America