Data Scientist

Why choose us?

Are you ready to take the next step in your career? Join us for an exciting opportunity at Albertsons Companies, where innovation and customer service go hand-in-hand!
At Albertsons Companies, we are looking for someone who’s not just seeking a job, but someone who wants to make an impact. In this role, you’ll have the opportunity to lead, innovate, and contribute to the growth of a company that values great service and lasting customer relationships. This position offers the chance to work in a fast-paced, dynamic environment that’s constantly evolving.

Main Responsibilities

Albertsons Companies is transforming how we operate from Source to Table—reimagining planning, ordering, inventory, and execution as a deeply connected, AI-enabled ecosystem. In this role, you will own the technical roadmap for an AI-native Data Science organization that builds the predictive, prescriptive, and agentic intelligence powering our next-generation supply chain and store execution platforms.

The position will be based in Pleasanton, CA.

• Define and implement the overarching data science and AI architecture and technical strategy for a team of data scientists that will build data science and AI capabilities to optimize operations, processes and capabilities in Source to Table transformation area that would include
  1) end to end demand forecasting;
  2) inventory optimization to minimize out of stocks;
  3) store and warehouse replenishment to minimize supply chain waste;
  4) Agentic AI frameworks to augment and automate planning and execution capabilities.
• Hands-on with design, implementations and deployment of sciences and AI models to convert multiple point solutions to connected data science and AI solutions at scale.
• Stay current with the latest advancements in data science, machine learning, and AI technologies.
• Evaluate and implement new tools and technologies to enhance the data science architecture and continuously improve analytical capabilities.? Drive innovation through research, experimentation, and prototyping.
• Build and scale "AI-native" components: models + agents + reasoning layers. Build a portfolio that includes:
• Core ML/optimization models (forecasting, bias correction, replenishment, shrink/markdown, execution signals).
• Agentic AI frameworks that augment and automate planning and execution-human-in-the-loop where needed, autonomous where safe/valuable.
• LLM-powered explanation and decision support that translates outputs into natural language.
• Lead partnerships with cross-functional teams, including product, engineering and domain experts, to deliver analytical, predictive and decision-support solutions for supply chain and fulfillment-related functions and capabilities. Interface with cross functional leaders and represent point of views from data science to drive measurable success
• Recruit, build and lead high-performing teams of data scientists in a technical capacity. Inspire and deliver data science innovations that fuel the growth of the business
• Provide technical and thought leadership in data science and AI. Guide architectures, data science models, machine learning algorithms and engineering best practices. Provide technical mentorship and guidance to the data science team.
• Use machine learning and AI to solve real customer problems, power the next generation experiences for large scale applications in real time. Deliver breakthrough benefits to customers using personalized, enriched, and derived data from a range of sources
• Drive meetings and lead discussions. Prioritize projects across the team and allocate resources to meet business and team goals
• Communicate sophisticated machine learning and modeling solutions and capabilities effectively with intuitive visualizations for business stakeholders

We Are Looking For Candidates Who Possess The Following

• Advanced degree in a STEM field like CS, DS, Engineering, Statistics, Math, etc. is preferred, or equivalent experience. PhD strongly preferred in Computer Science, Machine Learning, Statistics, Operations Research, Applied Mathematics, Industrial Engineering, or a closely related quantitative field (or equivalent depth of research + applied…