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Senior, Data Scientist - Machine Learning Engineer - job 1 of 10

Position Summary...What you'll do...At Walmart, we enable the connection between supplier brands and retail shoppers at unprecedented scale. As primary stewards of our brand promise, "Save Money. Live Better," we work alongside some of the most talented people in the world to engage with the more than 150M households who shop with us. This is a unique opportunity to join a high growth business within the largest company in the world. We believe all digital advertising can be targeted and accountable - and we have Walmart's sales data to prove it. Walmart Connect wins when suppliers invest in digital media to drive growth; Walmart and our supplier partners win when your digital expertise helps sell more goods online and offline. Growth in our digital advertising business is key to Walmart's overall growth strategy.About the role:The Customer Digital Identity (CDI) organization is enabling the company to better understand who the Walmart customer is. At the same time, we are ensuring streamlined processes, security, scalability, regulatory compliance and best in class customer experience. The CDI team will amplify customer centricity by deepening the company's understanding of customers and their preferences. When we do that, we can serve them when and how they need . This team will work with other teams within the Walmart Membership (W+), Walmart Connect (WMC) and Data Ventures.The Senior Data Scientist will lead our development efforts on deploying Machine Learning models in production environment, our other research data scientist experiment . This is more an ml production focus role than machine learning experimentation. The ideal c andidate is someone who has good knowledge and background in deployment of machine learning models in production at industrial scale.This exciting opportunity will join a team of data scientists embedded within the business unit to develop tools that quantify the impact of investment and operational decisions on the Customer, Associate and Shareholder.Location:Sunnyvale, CA (preferred), San Bruno, CAYou'll sweep us off our feet if...• Demonstrable background in ML Model Development involving Classical ML and Deep Learning in various do main .• Deep expertise in Machine Learning Development Cycle- development, deployment and Monitoring• Strong background of using Model Experimentation ( MLFlow ), Data Versioning (DVC), maintaining CI/CD pipelines via Jenkins, Github A ctions and orchestration pipeline tools (Airflow, Prefe ct ) . Similar tools as above is ok.• You are skilled in Python. Scala is optional.• You are experienced with modeling, optimization, statistical modeling, Ridge/ Lasso and elastic net regression. Familiar with ML frameworks: Scikit learn, TensorFlow, PyTorch .• You are experienced in ETL practices and basic data engineering . SQL experience is required , working experience in SparkSQL or PySpark is needed.• You have experience with cloud environments including Azure, Google Cloud, etc.• Solid MLOps practices including good design documentation, unit testing, integration testing and source code control (git).• Interest in building capabilities in LLMOps especially around LLM depl o yment tooling and Evaluation.• You are experienced with agile methodologies using project planning and tracking management tools e.g., JIRA• You're naturally curious on how things work and excited by solving challenges at the scale of a Fortune 1 Retailer.You'll make an impact by...• Support the development of the Customer Decision & Segmentation Engine. Pr ovide M L Engineer capabilities to cover the entire customer shopping journey.• Identify data collection opportunities to better understand the customer/associate experience. Support the build out of data feature store.• Help put models into production and mentor other data scientist in doing so.Qualifications:• Masters degree in Computer Science, Information Technology or related field• 5+ years MLOps , Machine Learning in Production experience• PhD preferred in Computer Science, Information Technology or related fieldAt 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.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.For information about PTO, see https://one.walmart.com/notices .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.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.For information about benefits and eligibility, see One.Walmart .The annual salary range for this position is $117,000.00-$234,000.00Additional compensation includes annual or quarterly performance bonuses.Additional compensation for certain positions may also include:- StockMinimum 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...640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America
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What You Should Know About Senior, Data Scientist - Machine Learning Engineer, Walmart

Join Walmart as a Senior Data Scientist - Machine Learning Engineer in Cupertino, CA, where you'll play a pivotal role in shaping the future of digital advertising with one of the world's largest retail companies. In this position, you will lead the deployment of machine learning models that will have a real impact on how we understand and serve our customer base. By working closely with the Customer Digital Identity organization, you'll help refine our strategies to ensure tailored experiences for our shoppers. Your expertise in ML model development and production deployment will be invaluable as you navigate the intricacies of data pipelines, automated processes, and customer-centric insights. The ideal candidate will be hands-on with tools like MLFlow, DVC, and various ML frameworks. You'll also engage in exciting projects involving customer decision engines and feature stores while mentoring fellow data scientists. At Walmart, you won't just be crunching numbers; you'll be part of a mission to make shopping smarter and more efficient for over 150 million households. If you’re enthusiastic about machine learning at a massive scale and ready to take a step forward into the world of data-driven decisions, come and make an impact with us!

Frequently Asked Questions (FAQs) for Senior, Data Scientist - Machine Learning Engineer Role at Walmart
What are the responsibilities of a Senior Data Scientist - Machine Learning Engineer at Walmart?

As a Senior Data Scientist - Machine Learning Engineer at Walmart, your primary responsibilities include deploying machine learning models in a production environment, collaborating with various teams within the Customer Digital Identity organization, and developing tools for better understanding customer preferences. You will also support the development of the Customer Decision & Segmentation Engine and mentor fellow data scientists in implementing best practices for model deployment.

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What qualifications are needed to become a Senior Data Scientist - Machine Learning Engineer at Walmart?

To qualify for the Senior Data Scientist - Machine Learning Engineer position at Walmart, you typically need a Master's degree in Computer Science, Information Technology, or a related field, along with 5+ years of experience in MLOps and machine learning in production. A PhD is preferred. Additionally, practical experience with ML frameworks and cloud environments is essential.

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What tools and technologies will I work with as a Senior Data Scientist - Machine Learning Engineer at Walmart?

In the Senior Data Scientist - Machine Learning Engineer role at Walmart, you'll work with a variety of tools and technologies, including MLFlow for model experimentation, DVC for data versioning, Jenkins and GitHub Actions for CI/CD pipelines, and orchestration tools like Airflow. Familiarity with ML frameworks such as Scikit Learn, TensorFlow, and PyTorch is also crucial.

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How does the Senior Data Scientist - Machine Learning Engineer position contribute to Walmart's growth strategy?

The Senior Data Scientist - Machine Learning Engineer position at Walmart plays a critical role in the company's growth strategy by leveraging data insights to drive customer engagement and enhance digital advertising efforts. By developing machine learning models that improve understanding of customer behavior, you will help ensure Walmart's digital media investments yield high returns, thereby supporting overall business objectives.

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What are the career growth opportunities for a Senior Data Scientist - Machine Learning Engineer at Walmart?

A Senior Data Scientist - Machine Learning Engineer at Walmart can expect to encounter numerous career growth opportunities, including leadership roles within data science teams, special projects that influence major business decisions, and advancement towards directorial positions. The dynamic environment encourages continual learning and professional development.

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Common Interview Questions for Senior, Data Scientist - Machine Learning Engineer
Can you explain your experience with deploying machine learning models in production?

Be ready to discuss specific projects where you've successfully deployed machine learning models into live environments. Highlight your steps, the challenges faced, and the technologies used. This shows your familiarity with the process and your problem-solving abilities.

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What are some challenges of working with machine learning models in a production setting?

Discuss common issues such as data drift, model performance monitoring, and integration with existing systems. Show your understanding of MLOps practices and how you would troubleshoot these challenges effectively.

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How do you approach model versioning and maintaining CI/CD pipelines?

Explain your approach to model versioning and CI/CD pipelines, including tools you've used like DVC or Jenkins. Illustrate your knowledge about ensuring seamless updates and maintaining system integrity during deployments.

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What statistical models are you most comfortable with, and how have you applied them?

Provide examples of statistical models you've utilized, such as Ridge/Lasso regression. Discuss the context in which you applied them, focusing on the outcomes and what you learned from each experience.

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Can you describe a time when you had to mentor another data scientist?

Share an example to illustrate your mentoring style. Talk about the specific skills you helped develop, the approach you took to support your colleague, and the positive impact it had on team performance.

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How do you ensure the security and compliance of your data processes?

Discuss your familiarity with data governance practices, security frameworks, and compliance standards relevant to data handling. Provide examples of your contributions to maintaining secure and compliant data environments.

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What cloud platforms have you worked with, and how have you used them in machine learning?

Talk about your experience with cloud platforms like Azure or Google Cloud. Focus on how you leveraged these environments for data storage, processing power for model training, or deployment purposes.

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What role do you believe customer understanding plays in data science?

Discuss the importance of knowing customer behavior and preferences in shaping effective models. Provide examples of how data-driven insights can inform better customer engagement strategies.

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What ML frameworks do you prefer and why?

Share your preferred ML frameworks, such as TensorFlow or PyTorch, along with reasons for your choices based on usability, community support, and project requirements. Highlight specific projects where you successfully applied these frameworks.

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How do you keep yourself updated with the latest trends in machine learning?

Explain your approach to staying current, such as following industry blogs, participating in forums, attending conferences, or engaging in online courses. This illustrates your commitment to learning and growth in the field.

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"To save people money so they can live better.”

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Full-time, on-site
DATE POSTED
December 22, 2024

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