Advanced Data Scientist T500-21032

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: Advanced Data Scientist

Job Description :

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
• Develop Media Mix modelling (MMM), Multi Touch Attribution Model (MTA), Media optimization
• 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
• 4+ 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
• Media Mix modelling (MMM). Multi Touch Attribution Modle (MTA), Media optimization,
• 4+ years of experience and proficiency in SQL, Python and/or Spark-ML
• 4+ 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:

• SQL
• Python
• Machine Learning
• Deep Learning
• LLM / Gen AI
• Recommendation and personalization Algorithm
• Statistical & Mathematical Foundations – Strong knowledge of regression, clustering, survival modeling, and ensemble techniques.
• Cross-Functional Collaboration Skills – Ability to work with marketing, media ops, and product teams in a matrix structure.

Optional:

• Communication & Business Storytelling – Presenting complex data insights to business stakeholders clearly and impactfully.