Senior Data Scientist

2+ years of experience in a data science or analytics role, collaborating with business stakeholders Proficiency in SQL for querying, transforming, and analyzing large, complex datasets Proficiency in Python or R for data analysis and statistical modeling Expertise in one or more modern BI tools (e.g., Tableau, Looker, Power BI) for dashboard design and self-service analytics. Strong communication skills with the ability to turn complex analysis into compelling stories Experience defining and driving adoption of business metrics and KPIs Ability to scope ambiguous questions into clear, actionable analyses Familiarity supporting business domains such as finance, marketing, product, or customer success

Partner with marketing, finance, product, operations, and customer success to tackle business questions. Define and document core business metrics in partnership with Data Engineering. Build, modify, and rationalize clear, visually compelling dashboards and self-service reporting. Analyze large datasets to uncover trends, surface opportunities, and generate actionable recommendations. Translate complex findings into clear, impactful stories for diverse audiences. Use Python or R to perform analysis and statistical modeling, and support experimentation and ad-hoc investigations.