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: Advanced Data Scientist
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Roles & responsibilities:

• Collaborate with internal stakeholders and build production grade models and machine learning algorithms on large-scale datasets
• Apply machine learning to generate customer behavior segmentation, to enhance recommendation engines and deliver personalized user experience on ecommerce website and loyalty mobile app
• Apply predictive modeling techniques and survival models to forecast various demands for operations and to deploy real time learning algorithms to optimize the forecasts
• Build data science solutions to fuel growth initiatives for Digital, Merchandising, Marketing and Loyalty teams
• Design experiments and deliver A/B Testing analysis to improve customer experience in physical store and on digital platforms
• Apply statistical analysis to detect anomaly in systems and outliers in operational metrics for operational excellence
• Convey machine learning solutions with intuitive visualizations and effective communications

Experience Required:

• Masters or PhD degree in quantitative discipline: Computer Science, Engineering, Data Science, Math, Statistics or related mathematically-intensive fields such as Experimental Physics or Chemical Engineering
• 3+ 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.
• Experience with any of the following business analytics practices is preferred:
• Marketing-related analytics, including Customer Lifetime Value assessments
• Customer Service analytics and advance capabilities including NLP
• Personalization and recommendations
• 3+ years of experience and proficiency in SQL, Python and/or Spark-ML
• 3+ 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
• Ability to write production-level code in Python
• Experience with Snowflake, Azure Databricks is a strong plus

Skills Required:

• Regression modeling
• survival modeling
• ensemble modeling
• NLP, recommendation algorithms
• clustering, deep learning algorithms
• experimental design (Multivariate/A-B testing)
• Nonparametric Bayesian modeling
• SQL, Python, Spark-ML, Snowflake, Spark, Hadoop, production-level Python coding

Skills Required