Demo

Senior, Data Scientist

NWA Recycles
Bentonville, AR Full Time
POSTED ON 4/17/2025
AVAILABLE BEFORE 5/16/2025

Position Summary :

Read the overview of this opportunity to understand what skills, including and relevant soft skills and software package proficiencies, are required.

The role executes projects involving Data Science modeling and solutions in support of :

  • End to End Fulfillment
  • Transportation Forecasting using Forecasting as a Service Platform
  • CC / DC / FC Labor Force Optimization
  • DC / FC / Store Operations & Inventory Optimization
  • Last Mile / OnDemand Delivery
  • Driver Fraud and Abuse
  • Driver Incentive Pay
  • Predictive Time in Transit
  • Delivery Time Frame optimization
  • Spark Zone optimization
  • Returns
  • Root Cause Analysis using LLMs

About Team : Everyone has data, but the sheer volume of data at Walmart can be limitless. In the Data Engineering team, we help Walmart manage this data by building pipelines and data lakes to prepare big data for analysis and unlocking actionable insights in real-time. We also use cross-departmental data and machine learning to build a holistic view of true profitability, saving millions of dollars across item categories and geographies while assisting our leadership in making better decisions faster.

What you'll do :

  • Analyze complex operational E2EF, LMD, Returns business processes.
  • Identify data requirements.
  • Design, engineer, develop, test, validate, deploy to production, operate, support DS models to solve complex E2EF, LMD, Returns problems at Walmart scale.
  • Help business teams make decisions, answer questions, and solve problems more efficiently and effectively using data-driven, fact-based, and model-based approaches.
  • Deliver business value and economic impact in the form of cost avoidance.
  • What you'll bring :

  • Python expertise.
  • CPLEX expertise.
  • Modeling expertise :
  • Predictive Modeling using ML, Time Series, Ensemble Models.
  • Prescriptive Modeling using LP, IP, NLP, QP.
  • Element-based E2E Solution pipeline development.Excellent communication skills.Maturity (technical, business acumen) in solving problems at WMT scale; self-starter who can work independently and also guide, lead, mentor others.Team player with a "can do" attitude.

    About Walmart Global Tech : Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity experts and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

    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.

    Minimum Qualifications :

  • Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.
  • Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
  • 5 years' experience in an analytics or related field.
  • 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).
  • Primary Location : 203 Se Martin Luther King Jr, Bentonville, AR 72712-0000, United States of America

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