The individual will design and build scalable analytical solutions to drive customer insights, retention, and revenue optimization. The role involves developing data-driven solutions through statistical methods, mathematical modeling, and machine learning techniques. The professional will design experiments and measure their impact on business outcomes. Furthermore, the role requires translating complex business problems into scalable data science solutions. The individual will work extensively with large-scale customer datasets including transactions, campaigns, and behavior. Additionally, the position involves managing system design for machine learning pipelines and overseeing model deployment.

The role requires a minimum of five years of experience working as a Data Scientist. Candidates must possess five years of experience utilizing Python for data modeling and five years of experience working with SQL. Proficiency in coding with Databricks is necessary, specifically regarding building pipelines and distributed computing. Additionally, the candidate must demonstrate experience in scalability and performance optimization, including Spark tuning, partitioning, and caching.