(USA) Staff, Data Scientist - ML Architect

Wal-Mart•Bentonville, AR

46d•$143,000 - $286,000

About The Position

The Staff 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 to deliver impactful initiatives within the Sam's Club division of Walmart Inc. The position involves developing the foundational ML/AI models that will drive a tailored and enjoyable member experience across our eCommerce, Scan & Go, and in-club shopping interactions. As the Staff Data Scientist, you will oversee end-to-end implementation of Machine Learning products in the domains of Search and Personalization. You will guide a scrum team and collaborate with an accomplished team of Product Managers and Technologists to implement ML/AI solutions at scale. This offers a thrilling chance to integrate retail industry knowledge with machine learning algorithms, upsetting traditional business practices to achieve ambitious growth objectives. In this capacity, you will join a vibrant group of high-achieving individuals spanning Search and Personalization leading impactful and transformative shifts in our business. About Team: Sams Search and Personalization Team What you'll do: Leading a team of Data Scientists and Engineers focused on backend software infrastructure for powering AI/ML solutions Partner closely with Product and engineering leaders to inform, drive and accelerate innovations in discovery experiences via Insights, frameworks, causal inference solutions and machine learning prototypes. Executing 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. Building MLOps framework to create, build and deploy data science algorithms continuously test and personalize user experience

Requirements

You have experience in the development of large-scale production systems, Knowledge of Search, information retrieval and ranking systems.
You have experience building large scale ML systems in public cloud like Azure, Google etc
3 years+ of experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Deep Neural Networks, Wide and Deep etc
You are skilled in Programming language (Python, Java, R or Scala) and Large-scale training using data structures and algorithms
Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib
You have the implementation knowledge of Gen AI/Agentic AI solutions
You have experience with cloud environments such as Azure, Google Cloud, etc.
Solid MLOps practices including good design documentation, unit testing, integration testing and source code control (git).
You are experienced with agile methodologies using project planning and tracking management tools e.g., JIRA
You're naturally curious on how things work and excited by solving challenges at the scale of a Fortune 1 Retailer.
Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field.
6 years' experience in an analytics or related field

Nice To Haves

Research or Industrial experience in retail business, Ecommerce business or marketing / personalization/ recommendation area
Experience in causal inferencing, multi-variate testing & design, A/B testing & design, multi-arm bandit testing and implementation, descriptive analytics, and regression analysis
Experience with advertising targeting & measurement, and/or digital marketing analytics like uplift modeling, marketing-mix-models, multi-touch-attribution models
Experience with GCP, BQ, Dataproc, Vertex AI
Experience with optimization techniques like simulation and linear or mix integer programming (LP, MIP)
Experience with MLOps architecture like Docker, Kubernetes, Airflow, Kubeflow etc.
Experience designing & building APIs in python stack
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
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.

Responsibilities

Leading a team of Data Scientists and Engineers focused on backend software infrastructure for powering AI/ML solutions
Partner closely with Product and engineering leaders to inform, drive and accelerate innovations in discovery experiences via Insights, frameworks, causal inference solutions and machine learning prototypes.
Executing 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.
Building MLOps framework to create, build and deploy data science algorithms continuously test and personalize user experience

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.
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, parental leave, family care leave, bereavement, jury duty, and voting. 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.
Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
Live Better U is a company 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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