Senior, Data Scientist (MLE) | Last Mile Delivery | Sunnyvale

Wal-Mart•Sunnyvale, CA

50d•$117,000 - $234,000•Hybrid

About The Position

Walmart Global Tech Applied AI Last Mile team is looking for a passionate Senior Data Scientist to join world's largest retailer to shape the future of retail by working on various Last-Mile related problems. You will have the chance to leverage advanced machine learning and optimization methods to tackle a wide range of real-world problems, such as routing, trip pricing, driver search, driver matching, supply/demand forecast, ETA prediction, incentive strategy, and capacity optimization. This role offers an opportunity to work on large-scale, real-time data pipelines and deploy ML solutions that directly impact millions of customers and drivers. About the Team: Spark Driver Platform operates across all 50 U.S. states, empowering millions of drivers to provide local delivery and making it Walmart's largest local delivery service provider. The Spark Driver Applied AI team is dedicated to enhancing efficiency and profitability by pushing the boundaries of machine learning, data science, and economics. We build highly reliable and scalable production systems that drive the growth of the Spark Driver Platform. Our key focus areas include Capacity Planning, Driver Search, Driver Matching, Driver Offer Pricing, Driver Surge Pricing, Incentive Strategy, ETA Prediction, and GenAI Automation for Driver Support. 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 expert's 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. Flexible, Hybrid Work: We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.

Requirements

Ph.D. or master in Computer Sciences, Statistics, Operations Research, Economics, or other quantitative fields.
Strong knowledge of machine learning, deep learning, reinforcement learning, and optimization.
Proven track record of deploying ML models in production, preferably in high-scale environments.
Strong proficiency in programming languages, such as Python, Java, TensorFlow, PyTorch, or other ML frameworks.
Hands-on experience with cloud platforms such as GCP, or Azure.
Knowledge of big data technologies like Spark, Kafka, and SQL.
Proficiency in MLOps practices, including CI/CD for ML pipelines and model monitoring.
Ability to drive projects from conception to production in a fact-paced, dynamic environment.
Capability of conducting independent research to keep track of latest development and trend in the industry and academia.
Excellent communication and leadership skills, with the ability to influence and inspire cross-functional teams.
Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.

Nice To Haves

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)
We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.

Responsibilities

Build production models on large-scale datasets to help Walmart Last mile business use cases, by utilizing statistical modeling, machine learning and optimization techniques.
Build data pipeline from multiple sources and extract data insight with data exploration and visualization techniques.
Design, implement, deploy, and scale data science products with consideration of optimality and computation complexity.
Collaborate with stakeholders, including product, engineering, operations team to ensure that our data science product supports Walmart's business objectives.
Explore and latest trends of machine learning and optimization techniques to come up with solutions for complex data challenges.

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.
Health benefits include medical, vision and dental coverage.
Financial benefits include 401(k), stock purchase and company-paid life insurance.
Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

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