Job Description

About Albertsons Companies India
Albertsons Companies is a leading food and drug retailer in the United States. As of February 22, 2025, the Company operated 2,270 retail stores with 1,728 in-store pharmacies, 405 associated fuel centers, 22 dedicated distribution centers and 19 manufacturing facilities. Albertsons Companies India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company & technology journey to support millions of customers & lives every day.

Position Title: Data Scientist
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Roles & responsibilities:

• Collaborate with business and product teams to develop production grade machine learning models on large-scale datasets and improve customers overall shopping experience
• Enhance and apply end-to-end demand forecasting models to support various business decision making
• Optimize inventory policies to reduce supply chain waste and opportunity cost related to holding excess inventory by maximizing the productivity of inventory
• Identify key drivers for out of stocks and address them using Machine Learning and Mathematical Optimization techniques to maximize in stock conditions at stores to provide the best customer experience
• Apply machine learning and mathematical optimization to increase productivity in ecommerce fulfillment operations and deliver the most optimum user experience on ecommerce website and loyalty mobile app
• Build models and algorithms to fuel growth initiatives for In Stock, Omni Channel, Digital and Merchandising
• Apply predictive modeling techniques to optimize the forecasts for planning needs
• Scale up prototypes and implement reliable automated production workflow for models
• Collaborate with software development engineers to integrate models

Experience Required:

• Bachelor's or master's or PhD degree in quantitative discipline: Computer Science, Engineering, Data Science, Math, Statistics or related fields
• 2+ years of industry experience in applying data science and modeling methodologies: regression model, survival model, ensemble modeling, NLP, recommendation algorithm, clustering, deep learning algorithm, experimental design (Multivariate/A-B testing) and nonparametric Bayesian modeling etc.
• 2+ years of experience and proficiency in SQL, Python and/or Spark-ML
• 2+ years of SQL development skills writing queries, transforming data, mining structured and unstructured data.
• 2+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop
• Strong teamwork and communication skill
• Ability to write production-level code in Python
• Experience with Snowflake, Azure Databricks is a strong plus

Skills Required:

• Statistical and Experimental Modeling (regression modeling, survival modeling, experimental design multivariate/A-B testing)
• ML and AI (deep learning algorithms, NLP, nonparametric Bayesian modeling, ensemble modeling, recommendation algorithms, clustering)
• Mathematical and Applied Optimization (operations research, linear optimization, non-linear optimization, numerical search)
• SQL, Python

Skills Preferred:

• Big Data and Tools (Spark-ML, Snowflake, Spark, Hadoop, Big Query)
• Production-level Python coding

Skills Required