USA - Staff Data Scientist

Position Summary...

What you'll do...

This is an opportunity for you to be part of a new team that is being stood up now, and you can be a founding member to set the strategy, culture, technology and working norms. It's a unique chance to be an intrapreneur-building something new from the ground up, while backed by the strength of Walmart and leveraging the assets of the world's largest omnichannel retailer.

There is a vibrant data science community in Walmart Global Tech which provides great learning and collaboration opportunities. Apart from the numerous internal events, there is active participation in external events. All the work we do in Walmart Global Tech will eventually benefit our operations & our associates, helping Customers Save Money to Live Better.

Your Opportunity
To fulfill the charter of this new business initiative, there is need for top notch talent in the Sciences space. You would be working on challenging problems in NLP leveraging ML and DL and in optimization. All of the problems will require building solutions at Walmart scale. The best part is that your solutions/models will generate tangible and immediate business impact.

Your Responsibility
As a Staff Data Scientist, you'll be required to shape and deliver on this new team's sciences charter.
Working together with a team of data scientists and machine learning engineers to develop, implement, and test scalable solutions to focus on onboarding items and customers on new ventures with focus on solving cold start problem

Providing solutions to enrich marketing intelligence domain, customer experience

Consult with business stakeholders across stores and ecommerce businesses regarding algorithm-based recommendations and be a thought-leader to develop these into business actions.
Mentor junior members and handle multiple projects at the same time.
Creates continuous, online model learning along with iterative model enhancements.

Manage the continuous improvement of data science and machine learning led initiatives by following industry best practices and staying up-to-date with and extending the state-of-the-art in data science research

Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and shaping the team's strategy
Excellent academic or industrial track record of proposing, conducting and reporting results of original research, plus collaborative research with publications

Our Ideal Candidate
You are a technically strong and high performing individual with excellent communication skills, proven analytical skills and strong customer focus. You stay updated with latest research and technology ideas, and have a passion to utilize innovative ways to solve problems. You are able to apply principles of the defined strategy to routine business problems. You are a good story-teller and able to simply articulate the intricacies of your models as well as explain your results clearly to stakeholders.

Your Qualifications
Bachelor's with > 12+ years of relevant experience OR Masters with > 10+ years of relevant experience OR PhD in Computer Science with > 5+ years of relevant experience.

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...
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)

About Global Tech

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That's what we do at Walmart Global Tech. We're a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world's largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption.

We're virtual

Working virtually this year has helped us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting. Today, we are reimagining the tech workplace of the future by making a permanent transition to virtual work for most of our team. Of course, being together in person is an important part of our culture and shared success. We'll collaborate in person at a regular cadence and with purpose.

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.

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