Job Description

Position Summary...

What you'll do...

The Merchant Data Science team researches and develops algorithms that power areas like supply chain, pricing, assortment optimization, replenishment, store layout, etc. You will be working closely with other data scientists, machine learning engineers, operations research scientists, data engineers within the team as well collaborate with business teams, product managers, corporate strategists, software engineers and analysts.
Our team specifically partners with Omni-channel Supply Chain Strategy team to provide intelligent solutions to make highly visible and big impact decisions for Supply Chain Network transformation at Walmart. The work includes solving problems such as inbound network design, middle mile network flow optimization, various facility location determinations, last mile ecosystem design, pilots and measurements, monetization, transportation problems, return item strategy for ambient as well as fresh networks to provide Walmart a competitive edge in the medium to long term.
We work with various techniques primarily from operations research and often make use of techniques from machine learning (classical machine learning, deep learning, reinforcement learning), causal inference and statistics. Our work is innovative and is always encouraged to be published in top tier conferences and journals.

What we are looking for

Ph.D/M.S. in a quantitative discipline (Operations Research, Mathematics, Computer Science, Statistics etc.) with 9+ years of relevant work experience.
You've proven leadership experience in transportation logistics, and/or supply chain strategy.
Leverage your thesis in Industrial Engineering, Operations Research or equivalent quantitative field involving math programming techniques such as linear, integer programming, non-linear programming (convex, non-convex), stochastic programming, statistical and machine learning methods
Experience with one or more of optimization toolkits/libraries like CPlex, Gurobi, XPressMP, Open-source solvers (CBC, GLPK) etc.
Strong software development skills in languages such as Python, Scala, Java or C++.
Ability to communicate your results from deeply technical to non-technical audiences.
Ability to influence and collaborate with cross functional leaders

You’ll sweep us off our feet if… 

You have proven ability as a full stack OR/data scientist who develops, optimizes, and scales models for the production environment 
You connect the how and why, using your knowledge of scientific theories and methodologies to derive the best approach that is fit-for-purpose 
You have a proven ability with statistical methods and advanced modeling techniques (e.g., SVM, Random Forest, Bayesian inference, graph models, NLP, Computer Vision, neural networks, etc.) along with the optimization and OR techniques
You have publications in Journals (ordered by rank): OR, EJOR, ORL, IJOC, IJPR, POM, WSC or INFORMS conference papers
You have experience with Cloud technologies such as GCP, Azure as well as with Spark, Hive and TensorFlow etc. 

Benefits & Perks:? 

Beyond competitive pay, 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.? 

About Global Tech 

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption. 

We’re virtual

Working virtually this year has helped us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting.  Today, we are reimagining the tech workplace of the future by making a permanent transition to virtual work for most of our team. Of course, being together in person is an important part of our culture and shared success. We’ll collaborate in person at a regular cadence and with purpose.

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)