Position Summary...
What you'll do...
The Principal Data Scientist in Walmart Retail Intelligence team will lead the efforts on reframing the business problems into ML/AI solutions, AI discovery, research, algorithmic solution design, and rapid prototyping targeted to optimize Walmart workforce planning, and associate’s engagement with stores and distribution centers, and optimize the allocation of activities to associates. This role will be focused on operational and execution decision engines which help better capacity planning, task to associate recommendation, and prioritization of activities that result in elevated associate and customer experience. They will be responsible for high level ML/AI conceptualization, roadmap planning, leading the efforts of feature engineering, ML/AI model development and experimentation, and pilot testing and iterative model refinement. They will work collaboratively with Product and Tech teams to productionize and scale ML/AI solutions and establish model monitoring and management processes. This role will require partnership with other teams within the Walmart E2E Fulfillment organization (data governance, science management, retail analytics, customer engine, foundation).
The Principal Data Scientist will play a pivotal role in managing efforts on how we develop ML/AI algorithms, at scale, that are linked to strategic business choices, unified associate signals, efficiency of associate operations, and delivering the desired associate, customer, and/or financial impact. They own the vision on improving efficiency of data science work streams including model development cycle time, model accuracy, model reliability, model stability, coverage of use cases, decisions impact and resources cost savings.
What you'll do:
Leadership mindset as a full stack data scientist who leads development, optimization, and scalability of ML/AI models for the production environment.
Engage with variety of business and product stakeholders to bring vision on applying broad knowledge of ML/AI capabilities to identify growth areas, new and emerging opportunities.
Bring synergy between ML/AI and retail by studying organization goals, strategies, practices, and user projects. Recommends strategies by evaluating organization outcomes; identifying problems; evaluating trends; anticipating requirements.
Lead the evolvement of a team of Data Scientists focused on powering ML/AI solutions within the scope of associate work prioritization, workforce planning and retention strategies.
Partner closely with Data Science Management, Business Leaders, and ML engineering leaders to inform, drive and accelerate innovations in discovery experiences via Insights, frameworks, causal inference solutions and machine learning prototypes.
Execute full life cycle of projects through project planning, data collection, model prototyping and deployment, with responsibilities encompassing stakeholder management and communication to cross-functional partners.
Provide leadership guideline for adherence to MLOps framework to create, build, and deploy data science algorithms continuously test and monitor drifts.
Present and shares highly complex information related to areas of expertise to executive level stakeholders. Interacts with senior executives to keep abreast of objectives. Interacts with peers to interpret information and improve cross-functional processes and programs. Builds and enhances key internal and external contacts.
What you'll bring:
2 years+ of experience leading teams of data scientists working on Applied ML/AI and Operations Research from conceptualization to productization and measurement of practical use cases.
5 years+ of experience in the development of large-scale ML/AI solutions and Optimization.
2 years+ experience working in cross-function collaboration environments influencing stakeholders from business, product, and engineering leadership to adopt AI vision in resolving complex problems in retail or other domains which engage end-user, customers, and associates to drive business.
Skilled in Programming language (Python) and Large-scale training using data structures and algorithms.
Experience with cloud environments including Azure, Google Cloud, etc.
Solid MLOps practices including good design documentation, unit testing, integration testing and source code control (git).
Experienced with agile methodologies using project planning and tracking management tools e.g., JIRA.
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 duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
About Walmart E2E:
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 E2E. 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.
Future Ways of Working:
Our company's success can be attributed to our employees. While technology has allowed us to be effective while working remotely, there is no substitute for being in the office together; it helps to shape our culture, collaborate, innovate, build relationships, and move more quickly. We strive to provide flexibility to promote a healthy work-life balance but recognize that in-person interactions are important to our culture and shared success. We'll meet in person on a regular and purposeful basis.
Who We Are
Join Walmart and your work could help over 275 million global customers live better every week. Yes, we are the Fortune #1 company. But you’ll quickly find we’re a company who wants you to feel comfortable bringing your whole self to work. 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. Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement. From day one, you’ll be empowered and equipped to do the best work of your life. careers.walmart.com
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.
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 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 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)
Primary Location...
702 SW 8TH ST, BENTONVILLE, AR 72716, United States of America
