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The Manager - Data Science will lead multiple projects, managing teams and contributing to business development. Responsibilities include designing data science solutions, presenting findings to stakeholders, and leveraging machine learning techniques. The role requires expertise in predictive modeling and data analysis, as well as communication skills to collaborate effectively in a fast-paced environment.

As a Lead Data Scientist, you will analyze customer behavior to provide marketing insights, leveraging SQL and Python to derive actionable strategies. You'll collaborate with stakeholders, implement A/B testing, guide junior analysts, and communicate complex findings through visualizations and storytelling.

The Lead/Manager - Azure Databricks will guide technical teams to deliver data-driven applications using microservices architecture, with a focus on Python and FastAPI. Responsibilities include managing senior client relationships, maintaining CI/CD pipelines, designing APIs, and ensuring system reliability through monitoring and logging solutions.