Position Summary
The Walmart eCommerce team is rapidly innovating to evolve and define the future state of shopping. As the world's largest retailer, we are on a mission to help people save money and live better. With the help of some of the brightest minds in technology, merchandising, marketing, supply chain, talent, and more, we are reimagining the intersection of digital and physical shopping to help achieve that mission.
We are looking for a creative, passionate, seasoned data scientist/machine learning engineer/solution architect to join Inkiru Data Science team at Walmart. You will have the unique opportunity to work with massive business and social data generated by Walmart Inc.'s unparalleled online and offline commerce.
What You'll Do
- Perform hands-on data exploration, processing, and analysis on massive data sets.
- Use state-of-the-art machine learning, deep learning, and data mining techniques to develop proof-of-concept predictive models.
- Communicate the results to stakeholders and present the projects in internal or external conferences.
- Research and develop advanced algorithms and techniques that address complex business problems.
- Utilize the broad and deep knowledge of Machine Learning and Software Engineering to contribute to the team's core machine learning capabilities.
What You'll Bring
- Solid background in machine learning, deep learning, statistical analysis, and software development.
- Proficient in data mining, machine learning, and deep learning packages in Python/Tensorflow/Keras.
- Experience working with large data sets and cloud computing (Hive, Spark, GCP, or Azure).
- Proficient in coding SQL, Python, Java, or JavaScript.
- Advanced degree (Master or PhD) in any STEM field plus 4-6 years of related experience.
- Ability to work in a fast-paced, iterative development environment.
- Good communication skills, ability to work with cross-functional teams of technical and non-technical associates.
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 experts, 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.
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 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.
Minimum Qualifications
Outlined below are the required minimum qualifications for this position:
- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.
- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
- 5 years' experience in an analytics or related field.
Preferred Qualifications
Outlined below are the optional preferred qualifications for this position:
- 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).
- Knowledge of accessibility best practices and implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards.
Primary Location
10500 Ne 8Th St, Bellevue, WA 98004, United States of America
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