Senior Director, Data Science

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. 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. 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. 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 Science 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 Farm to Shelf transformation area that would include end to end demand forecasting; inventory optimization to minimize out of stocks; store and warehouse replenishment to minimize supply chain waste; 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. You will lead efforts to optimize inventory policies across our supply chain and stores network to minimize out of stocks and maximize efficiency. 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. Guide architectures, data science models, machine learning algorithms and engineering best practices. Use machine learning 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 Prioritize projects across the team and allocate resources to meet business and team goals, supporting divisional and corporate efforts for cycles of planning and execution Communicate sophisticated machine learning and modeling solutions and capabilities effectively with intuitive visualizations for business stakeholders Experience Required: ~ An advanced degree in a STEM field like CS, DS, Engineering, Statistics, Math, etc. is preferred, or equivalent experience. ~5+ years management experience in building and leading data science teams ~ Specific 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 techniques ~ 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. ~ 10+ years of industry experience in applying data science: experimental design, machine learning, deep learning algorithms etc. ~8+ years of experience and proficiency in Python, SQL ~5+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop ~5+ years of experience with Data Engineering, MLOps, and Model Life Cycle Management. ~ Experience with logistics and supply chain management systems, Snowflake, Azure Databricks is a plus Machine learning Applied Optimization, Operations Research Python SQL AI/machine learning tools (Databricks, Vertex AI, etc.) Data Science team leadership (5+ years) Big data platforms (Snowflake, Spark, Hadoop) Data Engineering Strategic retail and grocery analytics expertise