Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy
Jobs / Job page
Senior, Data Scientist - Machine Learning Engineer image - Rise Careers
Job details

Senior, Data Scientist - Machine Learning Engineer - job 2 of 9

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
Walmart Glassdoor Company Review
3.4 Glassdoor star iconGlassdoor star iconGlassdoor star icon Glassdoor star icon Glassdoor star icon
Walmart DE&I Review
No rating Glassdoor star iconGlassdoor star iconGlassdoor star iconGlassdoor star iconGlassdoor star icon
CEO of Walmart
Walmart CEO photo
Doug McMillon
Approve of CEO

Average salary estimate

$175500 / YEARLY (est.)
min
max
$117000K
$234000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior, Data Scientist - Machine Learning Engineer, Walmart

At Walmart, we're on the hunt for a savvy Senior Data Scientist - Machine Learning Engineer to join our innovative team in Cupertino, CA! This role empowers you to play a critical part in reshaping the way we understand our customers by leveraging data and machine learning. With more than 150 million households counting on us, your contributions will directly impact how we connect suppliers' brands to retail shoppers at an unmatched scale. In this role, you will focus on deploying machine learning models into our production environments, ensuring they are robust and scalable while optimizing the entire ML development cycle. This isn't just another analytics gig; you'll be at the forefront of digital advertising, directly contributing to Walmart's growth strategy. Your expertise in ML tools and methodologies, including experience with tools like MLFlow, Jenkins, and various frameworks like Scikit-learn and TensorFlow, will be instrumental. Plus, you'll have the chance to work collaboratively across teams, support data-driven decision-making, and mentor fellow data scientists in their journeys. If you enjoy solving complex challenges in a fast-paced environment and have a strong grasp of your craft, this is the perfect opportunity to make a significant impact at a Fortune 1 company. Join us in our mission to create a better shopping experience for everyone!

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

To be considered for the Senior Data Scientist - Machine Learning Engineer role at Walmart, candidates must possess a Master's degree in Computer Science, Information Technology, or a related field, as well as have at least 5 years of experience in MLOps and machine learning in production environments. A PhD is preferred, alongside strong skills in ML model development and deployment.

Join Rise to see the full answer
What responsibilities does the Senior Data Scientist - Machine Learning Engineer have at Walmart?

In the Senior Data Scientist - Machine Learning Engineer role at Walmart, you'll be responsible for deploying machine learning models into a production environment and supporting the development of tools that measure the impact of business decisions on customers and stakeholders. You will also collaborate with other teams to deepen the understanding of customer preferences and enhance the customer experience.

Join Rise to see the full answer
What skills are essential for a Senior Data Scientist - Machine Learning Engineer at Walmart?

Essential skills for the Senior Data Scientist - Machine Learning Engineer position at Walmart include a solid understanding of machine learning algorithms, experience with model experimentation tools like MLFlow, and expertise in CI/CD pipelines. Familiarity with SQL, SparkSQL, and cloud environments like Azure is also crucial for success in this role.

Join Rise to see the full answer
How can the Senior Data Scientist - Machine Learning Engineer impact Walmart's business?

The Senior Data Scientist - Machine Learning Engineer at Walmart has a pivotal role in enhancing data-driven decision-making. By deploying sophisticated machine learning models and deepening the understanding of customer behaviors, you'll help improve marketing efficiency and boost sales both online and offline, ultimately contributing to Walmart's growth.

Join Rise to see the full answer
What is the salary range for the Senior Data Scientist - Machine Learning Engineer role at Walmart?

The salary range for the Senior Data Scientist - Machine Learning Engineer position at Walmart is between $117,000.00 and $234,000.00 annually. Additional compensation may include performance-based bonuses and stock options.

Join Rise to see the full answer
Common Interview Questions for Senior, Data Scientist - Machine Learning Engineer
Can you explain your experience with deploying machine learning models?

When answering this question, highlight specific projects where you successfully deployed machine learning models and discuss the tools and frameworks you used. Mention how you handled challenges related to scaling and monitoring the models in production.

Join Rise to see the full answer
What is your approach to model experimentation and validation?

Provide a structured response about your methodology for model experimentation. Discuss how you utilize tools like MLFlow for tracking experiments, and how you ensure that models are validated using appropriate statistical techniques before production deployment.

Join Rise to see the full answer
How do you ensure data quality and integrity in your projects?

In your answer, emphasize the importance of data quality in machine learning projects. Discuss your experience with ETL processes, data versioning tools like DVC, and practices you implement to clean and validate data before use.

Join Rise to see the full answer
Describe a challenging project you worked on and how you overcame the obstacles.

Use this question to showcase your problem-solving skills. Narrate a specific challenge you faced in a project, the steps you took to tackle it, and the successful outcome that resulted from your efforts, focusing on technical skills and teamwork.

Join Rise to see the full answer
What machine learning frameworks are you proficient in?

When responding, list the machine learning frameworks you are comfortable with, such as TensorFlow, PyTorch, and Scikit-learn. Provide examples of projects where you've used these frameworks, detailing how they benefited your work.

Join Rise to see the full answer
How do you approach continuous learning in the field of machine learning?

Discuss your commitment to staying up-to-date with machine learning trends and technologies. Mention relevant courses, certifications, or research papers you've engaged with recently, demonstrating your proactive approach to professional development.

Join Rise to see the full answer
How would you handle a situation where a deployed model performs worse than expected?

Share a systematic approach to troubleshooting such a scenario. Describe the steps you might take, including analyzing input data, model parameters, and feedback loops, alongside collaboration with your team to determine corrective actions.

Join Rise to see the full answer
What are your thoughts on collaboration between data scientists and business teams?

When answering this, emphasize the importance of effective communication and collaboration for successful data projects. Share examples of how you've worked with business teams to ensure that models align with business goals and deliver tangible outcomes.

Join Rise to see the full answer
What role does documentation play in your machine learning projects?

Highlight your understanding of the significance of documentation in ensuring transparency and maintainability. Discuss your practices for documenting model development, experimentation results, and operational processes to facilitate knowledge sharing among teams.

Join Rise to see the full answer
How do you prioritize tasks in a data-driven project?

When discussing task prioritization, outline your approach to assessing project scopes, deadlines, and stakeholder needs. Emphasize your ability to balance long-term research initiatives with short-term deliverables effectively.

Join Rise to see the full answer

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

5701 jobs
MATCH
Calculating your matching score...
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
December 1, 2024

Subscribe to Rise newsletter

Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!