(IND) Data Scientist III

Position Summary...

As a Data Scientist, your primary role will be to apply and develop Machine Learning (ML) solutions, create scalable models, and solve complex problems to drive actionable insights from large data sets. You will collaborate with different teams to find solutions to business problems, develop proof-of-concepts, and integrate data science solutions into current business processes. You'll also stay abreast with latest ML research and adopt industry best practices.

What you'll do...

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 unrivalled 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 centres, tire and battery centres, and a portfolio of business operations support services.

You will work in a team of talented data scientists to build robust, distributed and scalable applications solving interesting Supply Chain problems.

What you'll do:

As a Data scientist, you’ll have the opportunity to

Apply and/or develop ML solutions to develop efficient and scalable models at Walmart scale.
Play a key role to solve complex problems, pivotal to Sam’s Club business and drive actionable insights from terabytes of data.
Leverage data science tools and techniques, keeping abreast with the latest in the community to solve problems for Sam’s Club.
Collaborate with counterparts in business, engineering, and science to find impactful solutions to business problems.
Present recommendations from complex analysis to business partners in clear and actionable form, influencing the future.
Develop PoC, present lucidly to the business and evolve the solutions.
Take forward the solutions into Pipelines/APIs as needed by the business.
Research, learn/disseminate & adapt new technologies to solve problems & improve upon existing solutions.
Adopt Wal-Mart’s quality standards and develop and recommend process standards and best practices across the retail industry.
Stay up to date with and extending the state-of-the-art in Machine Learning research.
Integrate data science solutions into current business processes.
Develop and recommend process standards and best practices in Machine Learning as applicable to the retail industry.

What you'll bring:

Bachelor's/ Masters with 4+ years of relevant experience in Computer Science/Mathematics/Statistics or any other relevant field.
Strong desire to drive change, and ability to adapt to change quickly.
Strong hands on development skills to prototype technical solutions.
Strong oral and written communication skills.
Good problem-solving attitude and analytical skills.
Good Python development experience with big data.
Experience in analysing complex problems and translating them to data science. algorithms with due attention to computational efficiency and testing at scale.
Expertise in machine learning, supervised and unsupervised along with Time Series.
Basic knowledge on Optimization.
Experience working with big data - identifying trends, patterns, and outliers in large volumes of data.
Experience with SQL, relational databases and data warehouse.
Experience in ML Ops (GCP desired).
Experience with multiple stakeholder management, data based story-telling and multiple project handling at the same time.

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 with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, 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 a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.

Belonging

We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.

At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.

Equal Opportunity Employer

Walmart, Inc., is an Equal Opportunities 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 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.

Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.