Lead Data Scientist T500-21183

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: Lead Data Scientist Job Description : Roles & responsibilities: Technical Expertise: Design and implement state-of-the-art machine learning models and algorithms. Analyze large, complex datasets to extract actionable insights. Develop predictive and prescriptive models to drive business decisions. Oversee the deployment of data science models into production environments. Ensure best practices in data engineering, model management, and version control. Architectural Leadership: Define and implement the overarching data science architecture and strategy. Ensure the scalability, performance, and reliability of data science solutions. Lead the selection and integration of data science tools, frameworks, and platforms. Build and deploy data science solutions at scale. Collaboration and Guidance: Work closely with cross-functional teams, including engineering, product, and marketing, to integrate data science solutions into business processes. Provide technical mentorship and guidance to the data science team. Collaborate with cross-functional teams to translate business requirements into scalable data science solutions. Innovation and Continuous Improvement: 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. Governance and Best Practices: Establish and enforce data science best practices, including coding standards, documentation, and model validation. Ensure data security and compliance with relevant regulations and standards. Develop and maintain comprehensive documentation of the data science architecture and processes. Experience Required: An advanced degree in a STEM field like CS, DS, Engineering, Statistics, Math, etc. is preferred, or equivalent experience from building large scale solutions. 10+ years of experience in data science, with experience in architecting and deploying data science solutions at scale. Proven track record of leading data science projects and teams. Extensive experience with machine learning frameworks (e.G., TensorFlow, PyTorch) and data analysis tools (e.G., Python, R). Strong background in statistical modeling, deep learning, data mining, and predictive analytics. Strong background in data engineering and big data. Proficiency in SQL and experience with cloud platforms (e.G., AWS, Azure, Google Cloud). Proficiency in understanding interaction of multiple data science/ML models. Must know how to go from point solutions to platforms. Strong problem-solving skills and the ability to think critically and analytically. Excellent communication and presentation skills. Ability to manage multiple projects and prioritize tasks effectively. Product mindset and systems thinking. Experience in the 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). Skills Required: Machine learning solution architecture TensorFlow PyTorch Python statistical modeling deep learning data mining predictive analytics data engineering big data technologies SQL, cloud platforms (AWS, Azure, Google Cloud), ML model interactions platform-level solution deployment