Sr. Data Scientist

Leverage advanced analytics and machine learning techniques to solve complex problems and provide actionable insights. Work closely with cross-functional teams to influence business strategy and drive growth by leading efforts in developing models, analyzing large datasets, and communicating findings to stakeholders. Key responsibilities include developing and testing machine learning models, designing LLM-powered solutions, conducting deep dive analysis, evaluating model performance, and implementing thorough testing. Also, creating dashboards and visualizations to communicate insights, providing clear and actionable reporting for stakeholders, handling ad-hoc analytics requests, performing exploratory data analysis, and ensuring data quality through rigorous data collection. Collaborate with product, engineering, and business stakeholders to understand requirements, provide data-driven recommendations, and influence strategy. Identify opportunities to enhance data modeling and testing platforms, and communicate the value of data analytics to non-technical teams.