Data Scientist Iii

Job Description

Data Scientist III Position Overview

Work with a team of data scientists and machine learning engineers to develop and deploy GenAI applications supporting Walmart's finance department. Build state-of-art LLM models by training with massive amount of Walmart data utilizing open-source or in-house tools.

As a Data Scientist III, you will work closely with business teams to identify opportunities and translate requirements into innovative technical solutions. You will lead the design and development of generative AI solutions, working with engineers and platform architects to integrate and deploy robust ML applications. You will stay at the cutting edge of data science and machine learning advancements, continuously exploring new technologies to enhance the team's technical capabilities. Your strong analytical skills and experience with optimization problems will be key to providing actionable recommendations.

Primary Location:

10790 Parkridge Dr. Suite 200, Reston, VA 20191

We use a hybrid way of working that is primarily in the 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.

Data Scientist III Main Responsibilities

Collaborate closely with business teams to identify opportunities and translate requirements into innovative technical solutions.
Lead the design and development of generative AI solutions, utilizing established techniques and creating custom algorithms when necessary.
Work closely with engineers and platform architects to integrate and deploy robust ML applications and systems.
Stay at the forefront of data science and machine learning advancements by continuously exploring and evaluating new technologies and methodologies.
Conduct advanced analyses to provide recommendations on the applicability and efficiency of product features.
Data Scientist III Minimum Qualifications

Option 1: Bachelor's 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: A master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field.
Option 3: 4 years' experience in an analytics or related field.
Strong knowledge of retail and one or more business practices across domains such as product, finance, marketing, technology, and business systems.
Exceptional analytical and quantitative problem-solving skills.
Experience with large dataset mining tools and open-source programming tools (e.g., R, Python).
Expertise in solving optimization problems using integer programming.
Ability to deconstruct abstract problems, formulate hypotheses, and conduct detailed analyses.
Experience navigating ambiguity and building rapid business cases/prototypes.
Hands-on experience with analytics and reporting tools such as Google Cloud Platform (BigQuery), Microsoft Power BI, and Microsoft Excel.
Data Scientist III 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, or Econometrics
Successful completion of one or more assessments in Python, Spark, Scala, or R
Using open source frameworks (for example, sci-kit 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.
Data Scientist III Compensation and Benefits

The annual salary range for this position is $108,000.00-$216,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include: Stock
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.
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.
For information about PTO, see https://one.walmart.com/notices.
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.
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.

About the Team

Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.

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.

About Walmart

At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability-and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries-all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?

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, abilities, ideas and opinions- while being inclusive of all people.

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