Staff Data Scientist

What you'll do...

We are seeking a highly skilled and experienced Staff Data Scientist with a strong expertise in computer vision and edge computing to be responsible for the operation and maintenance of our edge computer vision systems. The ideal candidate will lead the development and implementation of advanced computer vision algorithms and machine learning models while ensuring the smooth operation and maintenance of our edge systems. In this role, the Staff Data Scientist will work closely with cross-functional teams to design, deploy, and improve scalable machine learning models for edge devices.

About Team:

At Walmart, we prioritize innovation and data security. Our team is dedicated to maintaining a secure operating environment and preserving the trust of our customers, associates, and stakeholders. We combine a range of services and expertise to prevent fraud, detect threats, and manage digital risk and access. Our focus is on mitigating attack risks, securing cloud transformation, and fostering a culture of security and reliability within our team

What you'll do:

• Oversee the operation and maintenance of our edge computer vision systems
• Maintain and improve CI/CD pipelines
• Analyze and improve pipelines to reduce cost while maintaining accuracy
• Develop and implement cutting-edge computer vision and machine learning algorithms to solve complex business problems
• Design and build scalable and efficient machine learning models for edge devices
• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications
• Ensure the security and reliability of our edge system infrastructure
• Stay up-to-date with the latest advancements in computer vision and edge computing technologies
• Mentor and coach junior data scientists and engineers
• Build the CV operations team

What you'll bring:

• Master’s or PhD degree in Computer Science, Engineering, Mathematics, or a related field
• 5+ years of industry experience in computer vision and edge computing
• Strong expertise in programming languages such as Python, GoLang, and Javascript
• Experience with deep learning frameworks such as Tensorflow, PyTorch, and Keras
• Experience with edge computing platforms such as Nvidia Jetson, Raspberry Pi, and Qualcomm Snapdragon
• Experience in deep learning frameworks such as pytorch and tensorRT.
• Knowledge of video technologies such as IP cameras, h264, h265, ffmpeg, and gstreamer.
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Experience leading or managing teams is a plus

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:

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: 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...

350 N SAINT PAUL ST, DALLAS, TX 75201-4240, United States of America