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(USA) Principal, Data Scientist - ML Architect
Walmart - Sunnyvale, CA
posted 4 months ago
About the position
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 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 Principal Data Scientist, you will oversee end-to-end implementation of Machine Learning products in the Ads. 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 Ads leading impactful and transformative shifts in our business. The Ads Relevancy and Ranking Team at Sam's Club is a high-visibility assembly of Data Scientists and Machine Learning Experts dedicated to revolutionizing ad experiences with unparalleled precision in Relevancy and Ranking within the retail giant's ecosystem. Our mission is to refine ad interactions across Walmart and Sam's Club platforms, ensuring each advertisement is not only relevant but seamlessly integrated into the customer journey, thereby significantly enhancing user engagement and simplifying their decision-making process. By harnessing advanced, scalable systems, our team is at the forefront of transforming the ad experience into something intuitively customer-centric. Our pivotal role in managing vast traffic volumes and catalyzing revenue growth is recognized across the organization, marking us as a cornerstone of innovation within Walmart/Sam's Club. Celebrated for our groundbreaking solutions and strategic impact, we are leading the evolution in ad visibility and effectiveness, driving marketplace success by making customer experiences more engaging and effortless.
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
Requirements
- Experience in the development of large-scale production systems
- Knowledge of Search, Ads, information retrieval and ranking systems
- 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
- Skilled in Programming language (Python, Java, R or Scala) and Large-scale training using data structures and algorithms
- Experience with Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib
- 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)
- Experienced with agile methodologies using project planning and tracking management tools e.g., JIRA
- Naturally curious on how things work and excited by solving challenges at the scale of a Fortune 1 Retailer
Nice-to-haves
- 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)
- 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
- Knowledge of accessibility best practices
Benefits
- 401(k) match
- Stock purchase plan
- Paid maternity and parental leave
- PTO
- Multiple health plans
- Incentive awards for performance
- Short-term and long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- Live Better U education benefit program covering tuition, books, and fees
