Staff Data Scientist - Machine Learning / Forecasting

Key Skills

Framework, Java Programming, Python Programming, R Programming, Scala Programming, Scikit-learn, SPARK Programming, SQL, TensorFlow, Torch library

Job Description

The Merchant Data Science team researches and develops algorithms that power our core areas like forecasting, pricing, assortment optimization, replenishment, store layout, etc. We work at enormous scale (millions of items x thousands of stores x dozens of variations) to deliver great products at great prices to our customers.

You will be working closely with other data scientists, machine learning engineers, operations research scientists, data engineers within the team as well collaborate with product managers, software engineers and analysts from partner teams to deliver data products that aim to simplify and streamline our store operations. We work with various techniques from machine learning (classical machine learning, deep learning, reinforcement learning), operations research, causal inference and statistics. Our work has been published in top tier conferences such as KDD and INFORMS.

What we are looking for

• Ph.D./M.S. in a quantitative discipline (Computer Science, Statistics, Electrical and Computer Engineering, Industrial Engineering, Mathematics, etc.) with 3+ years of relevant work experience.
• Expertise in one or more areas among: Machine Learning – Time-series models, Deep Learning / Reinforcement Learning, Causal Inference, Statistics.
• Experience with leading data science projects from conception to production.
• Strong software development skills in languages such as Python, PySpark, Scala.
• Experience with distributed systems and tools such Spark, Hadoop, etc.
• Ability to communicate your results from deeply technical to non-technical audiences.
• Ability to influence and collaborate with cross functional leaders in Engineering, Product, Analytics, etc.
• Nice to have but not required
• Experience in retail organizations.
• Published work in top tier journals and conferences (KDD, INFORMS, Neurips, ICML, WWW).
• Experience with MLOps processes

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 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 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.

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, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)