Senior Data Scientist - Finance

Partner with Finance and Product stakeholders and other cross-functional teams to identify impactful business questions, conduct deep-dive analysis, translate data insights into actionable recommendations and communicate findings to audiences at all levels to inform data-driven decisions. Build a forecasting platform that can be used across Mercury. The platform can be used with a variety of inputs to forecast (e.g., users, revenue, profit) and model types. Define and analyze metrics that inform tactical decisions and overall strategy for teams that allow us to monitor the health of our products. Educate teams on how to best use data and define best practices for making decisions on prioritization, experimentation, data models, and more. Use forecasting techniques to better understand our customer base, business economics, and potential growth levers. Collaborate with other Data Scientists and Data Engineers to build and improve data pipelines, tools, and infrastructure to streamline data collection, processing, and analysis workflows, and ensure the integrity, reliability, and security of data assets. Influence engineering, design, and business teams to implement data-based recommendations that will improve entrepreneurs’ lives and generate revenue for Mercury.