Staff, Data Scientist (MLOps)

unsolved problems.

As an MLOps Data Scientist, you will be a key player in developing and maintaining our
machine learning infrastructure and data platform ensuring the smooth integration of
models into our production environment. Your role involves collaborating closely with
Computer Vision data scientists, software engineers, and DevOps teams to optimize the end-
to-end machine learning lifecycle. From implementing model performance improvement
strategies to troubleshooting issues in machine learning pipelines, your contributions will be
crucial to the efficiency and reliability of our ML operations

You'll make an impact by...
• Deploying and monitoring machine learning models for production environments.
• Building CV data pipelines, ensuring that data is easily accessible, updatable,
reusable.
• Develop strategies to optimize the annotation process, minimizing the need for
labeling large amounts of data.
• Enhance model performance by selecting the most informative data for annotation
and training.
• Providing expertise and guidance on all technical aspects of development, including
requirements, design, and implementation.
• Ensuring engineering and computer vision best practices, so that the team follows a
structured and efficient approach to their projects.

What you'll do...
• Build a scalable and extensive ML data platform that can support multiple forms of
data and support the scalability of computer vision models.
• Pioneer novel software systems for the rapidly growing field of data-centric AI. The
platform has several tools that automatically find & fix issues in datasets.
• Build curated data sets with auto ML and active learning capabilities.
• Innovate with feedback loops and human-in-the-loop processes to continuously refine
our systems to better meet product needs.
• Develop and implement robust model drift monitoring capabilities to ensure the
continued accuracy of deployed models.
• Collaborate with data scientists and data engineers to address drift-related
challenges.
• Implement and manage ML Ops practices to streamline the machine learning
development lifecycle.
• Provide mentorship to more junior members of the team.
• Stay ahead of the curve by keeping abreast of the latest technological
advancements, ensuring our solutions stay ahead of the curve.

You'll sweep us off our feet if...

7+ years machine learning experience, PhD or MA/MS in related Computer Science,
Computer Engineering or equivalent, OR 5+ years industry experience
• Experience leading projects with industry-wide impact.
• Significant experience in one or more of the following areas: machine learning, deep
learning, computer vision.
• Significant experience with advanced data pipeline, preferable with video or images
• Significant experience in programming languages with a technical background
• You are a team player - that is, you're a nice person - see no ego.
• Highly motivated and independent; good at prioritization and results oriented.
• A self-learner: ability to effectively adapt to rapidly changing technology and apply it
to business needs, integrate multiple tools together to solve business problems.
• Proficient in scripting and automation with an emphasis on integration.
• Experience in shipping computer vision products to thousands of customers or have
started a new line of products.
• Experience with complex image or video analytic pipelines.
• Expertise in machine learning development life cycle.
• Experience in some of the following fields: computer vision (object detection,
tracking, scene understanding), machine learning.

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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Hoboken, New Jersey US-10649:The annual salary range for this position is $132,000.00-$264,000.00
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Sunnyvale, California US-08479:The annual salary range for this position is $143,000.00-$286,000.00
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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: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 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, 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.

Primary Location...

640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America