Senior, Data Scientist

Position Summary...

What you'll do...

We are looking for a passionate and experienced professional to join the data science team at Walmart.

About the team:

Our team partners with engineering teams, business professionals and product managers from a variety of digital marketing channels including SEM, SEO, CRM and Display, etc. The team is dedicated to developing large scale data-driven solutions for digital media to bring high quality demand to Walmart at low cost. Team members have the unique opportunity to mine massive data sets generated by Walmart’s unparalleled online and offline commerce and develop models and algorithms that sustain and accelerate the growth of Walmart through omni channels. You’ll work with our distributed team of diverse and passionate data scientists, engineers, marketers, and product managers to build a world-class marketing science practice and integrated platform designed to support entire Walmart to enhance marketing strategies.

What you'll do:

• Create and manage model serving inference solutions via NVIDIA Triton/vLLM for effective inference and the serving of expansive language models.

• Use Ray and vLLM tools to construct GenAI infrastructure to aid in distributed training and hyperparameter tuning of different GenAI models for enhancing the precision and relevance of Walmart ads.

• Generate and preserve documentation pertaining to model serving and inference solutions, such as architectural diagrams, deployment instructions, and performance indicators.

 • Utilize ML Automation platforms like Mlflow, KubeFlow, and MetaFlow for full lifecycle machine learning support.

• Design sophisticated feature extraction algorithms for various advertising applications, including audience targeting, relevance ranking, and performance optimization.

• Construct, manage, and monitor scalable data pipelines using distributed computing frameworks (like Hadoop/Spark) and job schedulers (like Airflow/Azkaban) to aid in modeling and optimization products.

• Engage in code reviews, providing feedback to ensure the code is of excellent quality, maintainable, and adheres to best practices.

What you'll bring:

• A minimum of 2 years of professional experience in machine learning engineering, data science, or a similar field.

• Strong competence in programming languages like Python or Java.

 • Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.

• Experience with model serving and inference solutions like NVIDIA Triton or other inference servers, including containerization and orchestration technologies like Docker and Kubernetes.

• Experience using tools like Ray, vLLM for distributed training/offline inference.

• Solid experience in developing, deploying, and maintaining large-scale machine learning models.

• Deep understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and natural language processing.

• Experience with data preprocessing, feature engineering, and data visualization.

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.

Benefits:
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.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. 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.

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You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

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For information about PTO, see https://one.walmart.com/notices.

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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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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 a specific plan or program terms.

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For information about benefits and eligibility, see One.Walmart.

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The annual salary range for this position is $117,000.00-$234,000.00

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Additional compensation includes annual or quarterly performance bonuses.

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Additional compensation for certain positions may also include:

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- Stock

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Minimum Qualifications...

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

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.

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), 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.

Primary Location...

860 W California Avenue, Sunnyvale, CA 94086-0000, United States of America