(USA) Staff, Data Scientist

Walmart • Sunnyvale, CA

15h • Onsite

About The Position

Walmart Marketplace is a key part of e-commerce at Walmart. It is a gateway for Third-Party Sellers to manage their operations, such as onboarding, catalogs, order fulfillment, global opportunities, and return & refund management. We are responsible for providing the best in-class marketplace experience for our sellers and customers through the design, development, and operations of highly scalable systems. We interact with multiple teams within the company to develop scalable, robust technical solutions. The data scientist role will be part of the data science team and will play a key role working along with others within the Marketplace engineering organization, product managers and business stakeholders to build Machine Learning products. More about Marketplace: https://marketplace.walmart.com/ What you'll do: As a full stack Staff Data Scientist for Walmart , you will be responsible for building scalable end-to-end data science solutions for our data products.

Requirements

• Very good knowledge of the foundations of machine learning and statistics
• Experience in machine learning, supervised and unsupervised and deep learning.
• Experience in analyzing the complex problems and translate it into data science algorithms
• Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data
• Strong Experience in Python with excellent knowledge of Data Structures
• Strong Experience with big data platforms – Hadoop (Hive, Pig, Map Reduce, Scala, Spark)
• Hands on experience with Git
• Experience with SQL and relational databases, data warehouse
• Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
• Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field.
• 6 years' experience in an analytics or related field

Nice To Haves

• 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)
• 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

• Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management
• Can develop and maintain scalable MLOps infrastructure, such as building Kafka pipeline for unified logging and monitoring across multiple projects.
• Apply SRE (Site Reliability Engineering) principles for ML workloads, optimizing cloud deployments, monitoring performance and troubleshooting application latency or operational issues.
• Lead code quality and engineering best practices by conducing code reviews, and mentoring junior MLEs.
• Can provide high-level architectural project guidance, break down complex tasks, and help resolve project challenges for the team.
• Build continuous, distributed and scalable training pipeline, inference pipeline and performance monitoring pipeline to be used across several Marketplace initiatives.
• Enhance data feedback/annotation workflows to improve efficiency of our labeling team
• Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic machine learning solutions after successful prototyping.
• Collaborate cross-functionally with stakeholders to align AI solutions with Walmart’s business objectives.
• Build and deploy end-to-end models, balancing accuracy, computational efficiency, and business impact.

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.
• You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
• Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.
• Tuition, books, and fees are completely paid for by Walmart.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level