Senior, Data Scientist

(USA) ISD Office - DGTC AR BENTONVILLE Home Office, United States

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Walmart

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Position Summary...

What you'll do...

We are looking for a passionate, creative data scientist professional to join Finance Technology 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.   You will be responsible to use cutting-edge machine learning, data mining, and optimization techniques to design and implement robust, scalable predictive models and analytics solutions. 

You will be a part of a cross-functional team of scientists, engineers, product managers, and business professionals that sit at the intersection of data science, big data, IT infrastructure, and business operations.



About Team: Finance Technology
Join Walmart as Staff, Data Scientist – Finance Technology in our Global Technology EBS team. Your work could help over 240 million global customers live better every week. Yes, we are the Fortune #1 company. A career at Walmart is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. From day one, you’ll be empowered and equipped to do the best work of your life. Walmart’s Enterprise Business Services (EBS) is a powerhouse of seven exceptional teams delivering world-class technology solutions and services making a profound impact at every level of Walmart. As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide. Joining EBS means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart.

What you'll do:

  • Perform hands-on data exploration, processing, and analysis on massive data sets.

  • Use machine learning, deep learning and data mining techniques to develop robust predictive models in areas such as Walmart Tax, Finance, Catalog, Marketplace, and product recommendation.

  • Pull data from data warehouse, perform feature engineering, back-test models, compare model performances and communicate the results to stakeholders.

  • Research and develop state-of-the-art algorithms that address complex business problems.



What you'll bring:

  • Expertise in building and deploying machine learning models for real-world applications.

  • Experience with model evaluation, optimization, and tuning for performance improvements.

  • Ability to lead end-to-end data science projects, from solution design, data collection and preprocessing to model development, validation, and deployment.

  • Collaborate with domain experts to define problem statements and translate business objectives into actionable data science solutions.

  • Added bonus if you have experience with Large Language Model or creation, maintenance, and utilization of knowledge graphs, working with graph databases such as Neo4j, or similar.

  • Programming skills in one of the following languages: Python, SQL, Java, or JavaScript on a UNIX or Linux platform.

  • Bachelors Degreee with 5+ Years or Advanced degree (Master or PhD) in any STEM field plus 3+ years of related experience.



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.



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.



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 $90,000.00-$180,000.00

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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- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 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, 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), 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...

805 Se Moberly Ln, Bentonville, AR 72712, United States of America
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Category: Data Science Jobs

Tags: Big Data Classification Computer Science Data Mining Data warehouse Deep Learning Econometrics Economics Engineering Feature engineering Finance Java JavaScript Linux LLMs Machine Learning Mathematics ML models Neo4j Open Source PhD Python R Research Scala Scikit-learn Spark SQL Statistics STEM TensorFlow

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

Region: North America
Country: United States

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