Senior Director, Data Science [T500-25721]

About Albertsons Companies Inc. :As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners across the United States, including Albertsons, Safeway, Vons, Jewel-Osco and others, serve more than 36 million U.S customers each week.We build and shape technology solutions that solve customers’ problems every day, making things easier for them when they shop with us online or in a store. We have made bold, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.Our success is built on a one-team approach, driven by the desire to understand and enhance the customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.About Albertsons Companies India:At Albertsons Companies India, we're not just pushing the boundaries of technology and retail innovation, we're cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company’s technology journey to support millions of customers’ lives every day.At the Albertsons Companies India, we are raising the bar to grow across Technology & Engineering, AI, Digital and other company functions, and transform a 165-year-old American retailer. At Albertsons Companies India associates collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting and pivotal projects. Your work will make history and help millions of lives each day come together around the joys of food and inspire their well-being.Position Title: Senior Director Data ScienceJob Description :Roles & 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 set the vision and lead delivery 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.You will set the vision and roadmap for a team of data scientists that will build data science 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.You will lead the efforts to convert multiple point solutions to connected data science and AI solutions at scale.You will lead efforts to connect merch planning, supply chain operations, promo, price, clearance and S&OP through common forecasts. Lead the shift from disconnected point solutions to connected, end-to-end intelligence products with shared data/feature foundations and consistent governanceBuild 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.You will lead efforts to optimize inventory policies across our supply chain and stores network to minimize out of stocks and maximize efficiency.Lead partnerships with cross-functional teams 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 successRecruit, 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 businessProvide technical and thought leadership in data science and AI. Guide architectures, data science models, machine learning algorithms and engineering best practices. Cultivate team managers and members and grow their skill sets.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 sourcesDrive meetings and lead discussions. Prioritize projects across the team and allocate resources to meet business and team goals, supporting divisional and corporate efforts for cycles of planning and executionCommunicate sophisticated machine learning and modeling solutions and capabilities effectively with intuitive visualizations for business stakeholdersExperience Required :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 production experience).5+ years management experience in building and leading data science teamsSpecific experience and skills working in the retail and grocery industry is preferred, including in the areas of supply chain optimization, merchandising and pricing, digital/ecommerce, fulfillment, and customer and marketing analytics and intelligence capabilities using data science, AI and machine learning tools and techniquesYou will bring product thinking and deep expertise in systems design to this role.You will bring an understanding of how planning and operations connects with customer related work from a data science perspective.You would have prior experience as a consultant and bring a service mindset to the work of business transformation.You will be equally comfortable interacting with scientists, engineers, product, and business clients.Business acumen and retail understanding is critical.Getting stuff done is critical.Has to be able to clearly set a vision to partners for the art of the possible.Track record of guiding teams through unstructured technical problems to deliver business impact. Ability to translate high-level business objectives into actionSkilled at running cross-functional relationships and communicating with leadership across multiple organizations10+ years of industry experience in applying data science: experimental design, machine learning, deep learning algorithms etc.8+ years of experience and proficiency in Python, SQL5+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop5+ years of experience with Data Engineering, MLOps, and Model Life Cycle Management.Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different audienceExperience with logistics and supply chain management systems, Snowflake, Azure Databricks is a plus.Skills Required:Machine learningDeep learningApplied Optimization, Operations ResearchPythonSQLAI/machine learning tools (Databricks, Vertex AI, etc.)Systems designAnalytics across functionsData Science team leadership (5+ years)Strong cross-functional relationship management and executive communication skills.Skills Preferred:Big data platforms (Snowflake, Spark, Hadoop)Data EngineeringMLOpsModel Life Cycle ManagementExperimental designStrategic retail and grocery analytics expertise.

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