Staff, Data Scientist | Bentonville

2 weeks ago

Cave Springs, United States Walmart Full time
Position Summary...

What you'll do...

Walmart Global Tech Applied AI team is looking for a passionate Staff Data Scientist in Bentonville, Arkansas to join world's largest retailer to shape the future of retail by working on various supply chain related problems . You will have the chance to leverage advanced machine learning and optimization methods to tackle a wide range of real-world problems, such as vehicle routing optimization, driver-trip matching, trip pricing, supply/demand forecast and time prediction, driver workload matching and so on.

About Team : Our team is dedicated to enhancing supply chain and store operations , improve the efficiency and driving cost savings by leveraging innovative technology and working closely with supply chain and store operations business, product management, and engineering teams. We strive to empower team members, stores, and the supply chain with cutting-edge solutions that optimize end-to-end delivery, warehouse optimization, fulfillment, and store associate operations. Our commitment to technological innovation enables us to better serve customers and drive success across the organization.

What you'll do :

As the Staff Data Scientist, you will:
  • Design, build, test and deploy cutting edge associate engine solutions at scale, impacting store operations and millions of customers worldwide.
  • Provide technical leadership , guidance, and mentorship to highly skilled and motivated junior data scientist.
  • Collaborate with cross-functional teams, including business, product, and engineering, to leverage expertise and contribute to the tech community.
  • Research and develop advanced algorithms and techniques that address complex business problems.
What you'll bring :
  • Master's degree in computer science, Statistics, Optimization, or related field plus 5 years' experience in a machine learning/deep learning related field.
  • E xpertise in Machine Learning - Classical methods/ Deep Learning/ Reinforcement Learning, Causal Inference, Statistics.
  • Proficient in programming languages such as Python, R, and Java, with an understanding of algorithms and data structures.
  • Solid knowledge of advanced machine learning models, including model fit testing, tuning, and validation techniques.
  • Familiarity with model assessment and validation process.
  • Experience developing, training, validating, benchmarking, and monitoring machine learning algorithms.
  • Experienced with end-to-end modeling projects emerging from ideation.


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: 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...
PHYLLIS ST. N OF HWY 102, WEST SIDE OF STREET, BENTONVILLE, AR 72712, United States of America

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