Senior Data Scientist
AngiFull Time
Senior (5 to 8 years)
Candidates should have 5+ years of experience analyzing large datasets, with strong forecasting experience using methodologies like ARIMA and Prophet for LTV and CAC. Fluency in SQL and statistical programming languages such as Python or R is required, along with experience building scalable data pipelines and ETL processes using DBT. Familiarity with analytical models supporting product teams and the ability to work independently with Finance are also necessary. Strong organizational and communication skills are essential for prioritizing projects and managing multiple stakeholders.
The Senior Data Scientist will partner with Finance and Product teams to identify business questions, conduct deep-dive analysis, and translate data insights into actionable recommendations for data-driven decisions. Responsibilities include building a forecasting platform, defining and analyzing metrics to monitor product health, and educating teams on data best practices. The role involves using forecasting techniques to understand the customer base and growth levers, collaborating with other data professionals to improve data pipelines and infrastructure, and influencing teams to implement data-based recommendations.
Banking services for startups and founders
Mercury provides banking services specifically designed for startups, regardless of their size or stage of development. Their offerings include free checking and savings accounts, debit and credit cards, and options for domestic and international wire transfers, as well as treasury and venture debt services. The platform is user-friendly, allowing founders to manage their finances with ease. What sets Mercury apart from traditional banks is its focus on the startup community, offering programs that connect founders with valuable resources and advice to help them succeed. The goal of Mercury is to empower startups by providing them with the financial tools and support they need to grow and thrive.