ABOUT THE COMPANY

Albertsons Companies is at the forefront of the revolution in retail. With a fixation on raising the bar with innovation and building belonging through our culture, our team is rallying our company around a unique purpose: to create joy around each table and inspire a healthier tomorrow for every community.
Albertsons Companies is one of the largest food and drug retailers in the United States, with over 2,200 stores in 34 states and the District of Columbia. Our well-known banners include Albertsons, Safeway, Vons, Jewel-Osco, Shaw’s, Acme, Tom Thumb, Randalls, United Supermarkets, Pavilions, Star Market, Haggen, Carr’s, Kings Food Markets, and Balducci’s Food Lovers Market. We support our stores with 22 distribution centers and 19 manufacturing plants.
Placing a premium on adaptability, safety and family well-being, our work model, Presence with a Purpose, offers a hybrid work environment between remote work and office time. A one-size-fits-all approach does not apply to everyone, and teams are empowered to make decisions best for them.

PREFERRED QUALIFICATIONS

• Experience in retail industry.
• High performance computing background and experience engaging with the engineering teams in a product model.
• Familiarity with DevOps practices and tools for model deployment and monitoring (e.g., Docker, Kubernetes).

WHAT YOU WILL BE DOING

The Data Science team at Albertsons Companies is looking for a Principal Data Scientist to work for the most transformational food and drug retailers in the United States.
The position will be based preferably in Pleasanton, CA, also considering Dallas TX.
As a Principal Data Scientist, you will lead our data science initiatives and play a critical role in shaping our data science models, including ML and AI models, for our Product Foundational data science capabilities used to deliver key outcomes for Assortment and Space Planning, Pricing, Personalization, and Transportation efforts that are leading to business growth, customer growth and services for Albertson’s partners. You will leverage your deep expertise in machine learning, as well as statistical and mathematical modeling to drive impactful business decisions and innovations at enormous scale.
You will be a key technical leader responsible for designing and implementing the data science architecture that underpins our AI and ML modeling Product Foundational capabilities and integration with applications and data pipelines. This role demands a visionary thinker with deep technical expertise and a strategic mindset, who can drive the evolution of our data science infrastructure and methodologies.