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(USA) Senior Manager II, Data Science - E2E

Walmart

Walmart

Data Science
Bentonville, AR, USA
Posted on Wednesday, August 16, 2023
  • Location BENTONVILLE, AR
  • Career Area Data Science and Analytics
  • Job Function Data Science and Analytics
  • Employment Type Regular/Permanent
  • Position Type Salary
  • Requisition R-1620380

Position Summary...

What you'll do...

The Senior Manager of Data Science in Operations Optimization team will lead the effort in AI discovery, research, algorithmic solution design, and rapid prototyping of ML solutions to deliver efficiency in operations of Walmart US store and distribution center associates.  This role will be focused on designing ML and OR models in Co-Pilot application.

Co-Pilot is a mobile application used by thousands of Walmart store associates every day to guide them through their activities such as: priority of items to unload from trucks, items to restock on shelves, customers who need immediate attention, items that need a price update, etc.  This application unifies associate signals to be used in optimization of workload planning and task prioritization. This role will be responsible for high level ML/AI model designs, feature engineering, model development and experimentation, and pilot testing and iterative model refinement. They will work collaboratively with Business stakeholders, Product and Tech teams to design, 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).

This position will play a pivotal role in stakeholder management, understanding business problems, selection of ML/AI or Operations Research algorithms and development of them at scale, that are linked to efficiency of associate operations, and delivering the best associate and customer experience. They are core contributors in shaping the vision of data science work streams including prototype development cycle time, model accuracy, model reliability, model stability, coverage of use cases, decisions impact and resources cost savings.
 

What you'll do:

  • Leverage generative AI to create insights and explain the task assignment and/or prioritization to end users.

  • Influence cross functional teams on powering ML/AI solutions within the scope of associate work prioritization, productivity improvement, and retention strategies.

  • Apply broad knowledge of ML/AI capabilities to identify growth areas, new and emerging opportunities.

  • Conduct research by studying organization goals, strategies, practices, and user projects to recommend strategies by evaluating organization outcomes; identifying problems; evaluating trends; anticipating requirements.

  • 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.

  • Adhere to MLOps framework to create, build, and deploy data science algorithms continuously test and monitor drifts.

  • Shares highly complex information related to areas of expertise. Interacts with senior management 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 year+ of supervisory experience leading teams of data scientists working on Applied ML/AI or Operations Research from conceptualization to productization and measurement of practical use cases.

  • 5 years+ of experience in Applied ML familiar with core supervised and unsupervised algorithms.

  • Skilled in Programming language (Python) and Large-scale training using data structures and algorithms.

  • 2 years+ experience with Causal Inference frameworks, Bayesian Networks and Operations Research methods (Newsvendor problem, Travelling Salesman problem, Shortest Path models, etc.)

  • 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. 

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 6 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 4 years' experience in an analytics related field.
Option 3: 8 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.

PhD 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) with 5 years+ of experience post graduate degree, and 2 years+ tech leadership experience.

Benefits & Perks:  

Beyond competitive pay, 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.  

  

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 

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, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch)

Primary Location...

702 SW 8TH ST, BENTONVILLE, AR 72716, United States of America

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.