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Walmart

Principal, Data Scientist - RiskTech

Walmart, Reston, Virginia, United States, 22090


The Principal Data Scientist in the Data Science team will play a crucial role as an architect, leading AI explorations, research, algorithmic solution creation, and fast prototyping aimed at delivering impactful initiatives within Walmart Global Tech. This position involves developing and deploying AI/ML models that will enable business-critical platforms across the Walmart security ecosystem.

As the Principal Data Scientist, you will oversee the end-to-end implementation of Machine Learning products and collaborate with an accomplished team of Product Managers and Technologists to implement AI/ML solutions at scale. In this capacity, you will join a vibrant group of high-achieving individuals leading impactful and transformative shifts in our business.

About Team:

We are developing cutting-edge security platforms for Walmart that encompass critical applications and AI services. These innovative solutions are designed to enhance safety and security for both associates and customers, ensuring a secure shopping environment.

What you'll do:

Provide technical leadership to a team of Data Scientists while collaborating with engineers focused on backend software services for powering AI/ML solutions.

Partner closely with product and engineering leaders to inform, drive, and accelerate innovations in physical security and risk platforms.

Execute the full life cycle of projects, including project planning, data collection, model prototyping, and deployment, with responsibilities encompassing stakeholder management and communication to cross-functional partners.

Build MLOps and LLMOps frameworks to create, manage, and deploy data science algorithms effectively.

Lead feature engineering efforts to optimize data pipelines and model performance.

Demonstrate a strong understanding of various LLM models, their applications, and implications for business use cases.

Apply software engineering best practices, including test-driven design and development, to ensure the reliability and maintainability of ML solutions.

Foster a collaborative environment, promoting open communication and teamwork across multiple teams.

Stay updated with the latest trends and advancements in AI/ML to drive continuous learning and innovation.

What you'll bring:

Experience in the development and deployment of large-scale business-critical AI/ML systems and services in public cloud environments like Azure and GCP.

5+ years of experience in applied NLP with a deep understanding of transfer learning, LLM-based models including RAG, zero/few-shot learning, and multi-modal.

Proficiency in programming languages (Python, Java, R, or Scala) and large-scale training using data structures and algorithms.

Proficiency in machine learning frameworks such as TensorFlow, PyTorch, Caffe, Scikit-Learn, or Spark MLLib.

Experience with agile methodologies, using project planning and tracking management tools (e.g., JIRA).

A natural curiosity about how things work and a passion for solving challenges at the scale of a Fortune 1 retailer.

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. We are people-led and tech-empowered.

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.

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.

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.

Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.

Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field.

7 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.

Publications or active peer reviewer in related journals or conference.

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.

Primary Location...10790 Parkridge Dr. Suite 200, Reston, VA 20191, United States of America

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