(USA) Principal Data Scientist, E2E

Key Skills

A/B Testing, Algorithms, Analytical and Problem solving, Big Data Technology, Cloud computing, Continuous Integration & Continuous Delivery - CI/CD, Data Analytics, Data Modeling, Data science techniques, Deep Learning, Design, Effective communication skills, JIRA, Large Language Models - LLMs, Leadership Skill, Machine learning techniques, Mentoring, MLOps tools, Natural Language Processing (NLP), NoSQL, Optimization, Predictive Modeling, Project management, Python Programming, R Programming, Scala Programming, SQL, Teamwork

Job Description

What you'll do...

The Principal Data Scientist - Optimization in the Walmart E2E team will drive AI discovery, research, algorithmic solution design, and rapid prototyping targeted to deliver important activations within Walmart US. This role will be focused on operational and execution decision engines with alignment to unified merchandising and supply chain signals and assortment/inventory placement/fulfillment optimization supported by the Retail Science E2E team. They will be responsible for high level ML/AI conceptualization, feature engineering, ML/AI model development and experimentation, and pilot testing and iterative model refinement. They will work collaboratively with Product and Tech teams to productionize and scale ML/AI solutions and establish model monitoring and management processes. This role will require partnership with other teams within the Walmart E2E Fulfillment organization (data governance, science management, retail analytics, customer engine, foundation).

The Principal Data Scientist will play a pivotal in deciding how do we develop ML/AI algorithms, at scale, that are linked to strategic business choices, unified data signals, efficiency of merchandising and supply chain operations, and delivering the desired associate, customer, and/or financial impact. They own the vision on improving efficiency of data science work streams including prototype development cycle time, model accuracy, model reliability, model stability, coverage of use cases, decisions impact and resources cost savings.

What you'll do:

• Apply broad knowledge of ML/AI capabilities to identify growth areas, new and emerging opportunities. Conducts research by studying organization goals, strategies, practices, and user projects. Recommends strategies by evaluating organization outcomes; identifying problems; evaluating trends; anticipating requirements.

• Influence a team of Data Scientists focused on powering AI/ML solutions within the scope of network planning, inventory placement, replenishment and fulfillment, assortment optimization, pricing, promo planning, space optimization.

• Partner closely with Data Science Management, Business Leaders, and ML engineering leaders to inform, drive and accelerate innovations in discovery experiences via Insights, frameworks, causal inference solutions and machine learning prototypes.

• Execute full life cycle of projects through project planning, data collection, model prototyping and deployment, with responsibilities encompassing stakeholder management and communication to cross-functional partners.

• Adhere to MLOps framework to create, build, and deploy data science algorithms continuously test and monitor drifts.

• Shares highly complex information related to areas of expertise. Interacts with senior management to keep abreast of objectives. Interacts with peers to interpret information and improve cross-functional processes and programs. Builds and enhances key internal and external contacts.

What you'll bring:

• Experience in the development of large-scale ML/AI solutions utilizing optimization techniques, linear programming, integer programming, mixed integer programming, network optimization, convex optimization, non-convex optimization, stochastic programming.

• 6 years+ of experience in Applied ML familiar with core supervised and unsupervised algorithms.

• Skilled in at least one of the following optimization solvers: Cplex, Gurobi, CpOptimizer, Ilog Concert, DoCplex, GAMS, Lingo.

• Skilled in Programming language (Python) and Large-scale training using data structures and algorithms.

• 2 years+ experience with Causal Inference frameworks, Bayesian Networks and Operations Research methods (Newsvendor problem, Travelling Salesman problem, Shortest Path models, etc.)

• Experience with cloud environments including Azure, Google Cloud, etc.

• Solid MLOps practices including good design documentation, unit testing, integration testing and source code control (git).

• Experienced with agile methodologies using project planning and tracking management tools e.g., JIRA.

Who We Are

Join Walmart and your work could help over 275 million global customers live better every week. Yes, we are the Fortune #1 company. But you'll quickly find we're a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world's most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement. From day one, you'll be empowered and equipped to do the best work of your life. careers.walmart.com

Benefits:

Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Employer:

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.

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 responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)

Primary Location...

702 SW 8TH ST, BENTONVILLE, AR 72716, United States of America

About Walmart

At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability—and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries—all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?

Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.