Staff, Data Scientist | Merchandising Data Science Team | Forecasting

(USA) 1300 Building AR Bentonville Home Office, United States

Walmart

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Position Summary...

What you'll do...

We are looking for an experienced Staff Data Scientist to join our team and help develop a sophisticated forecasting and localization’s model. These models play pivotal role in accurate forecasting and optimize inventory across chain of stores. At Walmart Global Tech, we are leading the way in revolutionizing retail through advanced technology and data science. Our team of experts is committed to transform merchandizing and assortment processes and conducting research and development to create models that address the future requirements of our complex omni-channel international business.

About Team


The Merchandising Data Science team aims to build and deploy a large-scale automated solution for accurate forecasting, and flow of inventory via various localization models across the Walmart network. This team is part of Applied AI Organization, a group of impact-driven researchers dedicated to pursuing scientific and scalability excellence to ensure end-to-end optimality in Walmart's assortment.

What you'll do:

  • Model Development: Design, develop, and implement advanced algorithms for demand forecasting.
  • Data Analysis: Analyze large datasets to extract actionable insights and refine model inputs, including forecasts and cost structures.
  • Optimization and Machine Learning: Employ optimization and machine learning techniques in determining pack quantities and initial buy.
  • Collaboration and Stakeholder Management : Work closely with cross-functional teams, including data scientists, engineers, merchandisers, and product managers to ensure seamless integration and implementation of models.

What you'll bring:

  • Educational Background: Master's degree in Data Science, Operations Research, Industrial Engineering, Computer Science, or a related fields.
  • 7+ years of experience in building statistical models in the areas of forecasting, clustering and optimization
  • Solid understanding and experience in scaling DS models to reusable ML pipelines.
  • Technical Skills: Outstanding skills in programming in Python, SQL/Spark; statistics, forecasting, data analytics, machine learning, and optimization tools.

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.
 

Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed.  We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.  
Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey. 



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.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

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You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

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For information about PTO, see https://one.walmart.com/notices.

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Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

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Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

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For information about benefits and eligibility, see One.Walmart.

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The annual salary range for this position is $110,000.00-$220,000.00

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Additional compensation includes annual or quarterly performance bonuses.

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Additional compensation for certain positions may also include:

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- Stock

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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, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Primary Location...

1300 Se 8Th St, Bentonville, AR 72712, United States of America
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Tags: Classification Clustering Computer Science Data analysis Data Analytics Economics Engineering Industrial Machine Learning Mathematics ML models Open Source Pipelines Python R Research Scala Scikit-learn Spark SQL Statistics TensorFlow

Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Health care Insurance Medical leave Parental leave Salary bonus

Region: North America
Country: United States

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