Position Summary...

What you'll do...

We're looking for an incredible Senior Computer Vision Data Scientist to create computer vision models that will power our massive fleet of robot inventory scanners. Our autonomous robots take millions of pictures every day and your computer vision solutions will help identify when products are out of stock, where items are located, if prices are correct, and so much more. Check out this press release to get a better idea about the technology you will directly be working on.

About Team:
Sam's Club is our membership warehouse club, a business model that provides our members with high-quality products at prices that are unrivaled by traditional retail. Sam's Club provides a carefully curated assortment of items, as well as developing and leading technologies and services such as Scan & Go, Club Pickup, and home delivery service in select markets. Sam's Club also provides travel, auto purchasing, pharmacy, optical, hearing aid centers, tire and battery centers, and a portfolio of business operations support services.

What you'll do:

• Involve in extensive research and problem solving that spans a number of areas including computer vision, machine learning, image processing and distributed computing
• Research and development of computer vision and machine learning algorithms for object detection, recognition, segmentation, and tracking
• Actively attend premier conferences and events in the community
• Design, implement and deliver computer vision software systems to facilitate retail business
• Build scalable solutions to some of the challenging recognition problems in computer vision and continuously improve performance of existing algorithms
• Drive the design and development of computer vision algorithm and software applications implemented on cloud or edge infrastructures
• Maintain substantial knowledge of state-of-the-art principles and theories related to computer vision
• Serve as technical lead in vision area and work closely with other data scientists, software engineers, product managers and operations to create high quality and highly performing solutions

What you'll bring:

You'll sweep us off our feet if you have:

• Proficiency in computer vision and deep learning algorithms such as object detection, image classification, image segmentation, and video analysis
• Strong understanding of probability and statistical models (generative and descriptive models)
• Ability to run experiments scientifically and analyze results
• Ability to effectively communicate technical concepts and results to business audiences in a comprehensive manner
• Ability to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management and operations
• Proficiency in coding (Python)
• 5 years’ experience in building Computer vision/Machine Learning based models in a professional environment
• Master degree with 3-year industrial experience or PhD degree with 1-year industrial experience

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.

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)

Primary Location...

603 MUNGER AVE STE 400, DALLAS, TX 75202, United States of America