Position Summary...
What you'll do...
It’s an exciting time to join our Walmart journey, we are seeking a Staff Data
Scientist. At Walmart, technology empowers us and people lead. We believe new
technologies will enhance the associate and customer experience in our stores. You will
be working on future looking initiatives that is targeted at improving in store customer
experience for the 240+ million Walmart customers that shop at our stores. The mission is
to create step change in-store experiences, leveraging emerging technology to help define
and deliver on evolving customer expectations. Its success requires a cross- functional,
mission-based team that is highly entrepreneurial, collaborative and passionate about
solving the unsolved problems.
As a Machine Learning Engineer, you will be designing, training and deploying state-of-art AI
models in real-world production environment. In conjunction with multiple product and
technology groups, you will work to create a best-in-class consumer experience in the
physical retail space.
You’ll sweep us off our feet if....
•Experience in shipping computer vision products to thousands of customers or have
started a new line of product.
•Experience with complex image or video analytic pipelines
•Experience in machine learning development life cycle
•Expertise in some of the following fields: computer vision (object detection, tracking,
scene understanding), machine learning.
You’ll make an impact by...
•Developing computer vision algorithms and machine learning models to enhance
different customer facing application.
•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...
•Understand industry & company-wide trends to help assess & develop new
technologies.
•Research, design, develop, analyze and optimize computer vision algorithms in areas
related to object detection, tracking, product identification and verification, scene
understanding.
•Write product or system development code. Review code and computer vision
algorithms or model developed by other developers to provide feedback to ensure
best practices (model robustness, model generalization, accuracy, testability, and
efficiency).
•Effectively communicate complex features and systems in detail. Align with peers.
Summarize learnings, take-aways and recommendations in a succinct way to
executive leadership.
•Partner & collaborate with organization leaders to help improve the level of
performance of the team & organization.
What you’ll bring...
•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.
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 incentive 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 at https://bit.ly/3iOOb1J .The annual salary range for this position is $132,000.00-$264,000.00Additional compensation includes annual or quarterly performance incentives.Additional compensation for certain positions may also include:- Regional Pay Zone (RPZ) (based on location)- Stock equity incentives
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)
Primary Location...
221 RIVER ST, HOBOKEN, NJ 07030, United States of America
