Walmart Labs Merchant Tech Data Science team is looking for versatile data scientists to focus on building complex, cutting edge, and scalable algorithms for our merchandising organization. We have multiple job openings and are ready to work closely with merchants to solve their problems.
What you'll do
Develop analytical models to drive analytics insights
Lead small and participates in large data analytics project teams
Model compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity
Participate in the continuous improvement of data science and analytics
Present data insights and recommendations to key stakeholders
Provide and supports the implementation of business solutions
Preferred Qualifications for Optimization focused data scientist
Ph.D. degree in Operations Research, Mathematics, or Computer Science
Proficient in Java or C++, and CPLEX or Gurobi.
Experience utilizing a strong mathematical background with knowledge in optimization techniques such as convex optimization, distributed optimization and mixed integer optimization
Preferred Qualifications for Machine Learning/AI focused data scientist
Masters/Ph.D. degree in Operations Research, Industrial Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field
Master a variety of machine learning models
Experience with Big Data/Distributed computing (Hadoop, Hive, Cassandra, Spark, etc.)
Experience with SQL and relational databases
Experience with statistical programming languages (Python, R, SAS, etc.)
Bachelor of Science and 2 years' data science experience OR Master of Science and 1 year's data science experience.
Employer will assist with relocation costs.
Internal Number: 1369239BR
About Walmart Labs
@WalmartLabs is the technical powerhouse behind Walmart Global eCommerce. We employ big data at scale -- from machine learning, data mining and optimization algorithms, to modeling and analyzing massive flows of data from online, social, mobile and offline commerce. We don’t just engineer cool websites, mobile apps, and new services; we use our own open source tools to create the framework. Deployment is automated and accelerated through our open cloud platform. This makes us incredibly nimble and able to adjust in real-time to our global customers.