Data Scientist - Last Mile Delivery

Data Scientist - Last Mile Delivery

  • Location SUNNYVALE, CA
  • Career Area Data Science and Analytics
  • Job Function -
  • Employment Type Regular/Permanent
  • Position Type Salary
  • Requisition WD846380

What you'll do at

Position Summary...

What you'll do...

Delivering groceries to our customers in as little as an hour. Traveling with an ice cream in 100 degrees Phoenix weather. Re-routing deliveries during snowstorms and Super Bowl. Sounds simple right?? Walmart's Last Mile network powers millions of grocery deliveries every year and utilizes hundreds of data points to create connections between customers, shoppers, and drivers. 

Our Data Science team is a team of Engineers, Economists, Mathematicians, Statisticians, and Researchers from multiple disciplines who leverage a robust data and machine learning infrastructure to develop inference and optimization models. We aim to influence shopper and driver behavior by optimizing supply and demand imbalances using pricing and incentive algorithms.

As a Data Scientist for Last-Mile Delivery at Walmart, you will help pioneer algorithms for capacity, cost, fulfillment, and transportation to make Walmart’s delivery platform one of the fastest and most reliable delivery services in the country. You will have access to our limitless global data and all the new data to be harvested from our customer and driver apps. You will create insights that not only influence how we make decisions but also create an impact at an unprecedented scale.   

What you will work on… 

Our Data Science team aims at maximizing the platform's efficiency through influencing supply and demand in real-time. This involves developing a fundamental understanding of driver and shopper behavior and creating pricing and incentives algorithms that incorporate both marketplace dynamics and supply preferences. The team utilizes ML, Economic Modeling, Simulation and Optimization, and relies on continuous exploration and experimentation to make data-driven decisions.  

Sample projects:  

  • Forecasting incoming demand of delivery and supply of available drivers in new and existing markets. 

  • Optimizing pricing structure and algorithm to make pay fair and attractive for drivers. 

  • Understanding driver cohorts, driver lifetime value, and predicting driver churn.

  • Identifying driver sentiments and topics about product launches from social media posts.

You’ll make an impact by… 

  • Working on analysis and modeling techniques, selecting the best fit for structured & unstructured data, and developing custom models to generate insights that drive value for our customers.

  • Collaborating with business partners and data engineers to gather the right information from various sources to implement advanced statistical methodologies and design interventions to optimize how our business can perform at its best.

  • Conducting exploratory analysis including hypothesis testing, statistical inference, and statistical analysis (predictive and/or prescriptive). 

  • Automating tasks and developing processes that monitor, analyze, and continuously improve model performance and data accuracy. 

You’ll sweep us off our feet if… 

  • You’re inquisitive and out-of-the-box thinker who is continually on the lookout to improve and innovate data science solutions.

  • You have a spirit of entrepreneurship and can connect the what with the why.

  • You have a proven ability with statistical methods and modeling techniques like Time Series Analysis, Regression Modeling, Decision Trees & Random Forest, Clustering, etc.

  • You’re experienced with data manipulation languages and drawing insights from large data sets using Python, R, SQL, etc.

  • You have used advanced machine-learning methodologies like deep learning, reinforcement learning, neural networks, NLP, web scraping, etc.

  • You are good at storytelling and can communicate technically at a level appropriate for the audience.

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.     

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.

Minimum Qualifications...

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

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., Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2
years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science,
Information Technology or related field. Option 3: 4 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, Master’s degree 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...

840 W CALIFORNIA AVE, SUNNYVALE, CA 94086-4828, 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, ideas and opinions – while being inclusive of all people.

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All the benefits you need for you and your family

  • Multiple health plan options, including vision & dental plans for you & dependents
  • Financial benefits including 401(k), stock purchase plans, life insurance and more
  • Associate discounts in-store and online
  • Education assistance for Associate and dependents
  • Parental Leave
  • Pay during military service
  • Paid Time off - to include vacation, sick, parental
  • Short-term and long-term disability for when you can't work because of injury, illness, or childbirth

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific plan or program terms. For information about benefits and eligibility, see

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