Staff Data Scientist, EvenUp

• The ideal candidate will work at the intersection of data, economics, and strategy to drive high-impact decisions across pricing, growth, and product monetization
• This is a hands-on IC role with outsized ownership, ideal for someone who thrives on solving ambiguous problems, building clean data narratives, and driving organizations toward better decisions with data
• 6+ years of experience in data science, applied economics, or a related field, ideally in high-growth tech environments
• Proven ability to identify and measure causal business impacts using appropriate statistical techniques, especially in complex or observational settings
• Strong statistical modeling skills (time-series, forecasting, survival analysis, Bayesian inference)
• Fluency in Python or R and SQL; experience with large-scale data systems
• Exceptional verbal and written communication skills – ability to distill complex findings from models and economic reasoning into compelling insights for technical and non-technical audiences
• Demonstrated success influencing product, go-to-market, or commercial decisions with quantitative insights

Desirable

• We’re looking for a Staff Data Scientist to join our fast-paced, data-driven team
• You will be a thought partner to senior leadership and shape the way we use economics and data science to drive long-term value and influence our product and monetization strategy
• You’ll play a key role in understanding usage patterns in our platform via funnel analysis, causal analytics, and more to improve activation, engagement, and prevent churn
• You’ll apply your expertise in causal inference, econometrics, and behavioral analysis to answer some of the most critical questions in our business
• Translate complex datasets into clear insights with strategic recommendations that drive measurable actions and outcomes to inform product direction and business priorities
• Partner with Product, Engineering, Operations teams, and Executives to define KPIs and lead the analytics strategy for key product areas, including causal inference, cohort analysis, retention modeling, and experimentation design
• Develop forecasts for ARR, conversion, churn, and usage using economic and behavioral data
• Collaborate with data engineering, analytics, and product to shape best practices in experimentation, forecasting, and decision support
• Help build and evolve our analytical foundation, including event instrumentation, metric frameworks, and scalable self-serve analytics tools
• Mentor other analysts and raise the bar for data storytelling, analytical rigor, and stakeholder influence across the org
• Frame ambiguous business problems into well-scoped analytical or modeling projects, especially those with strategic or monetization impact
• Apply advanced statistical and econometric techniques (causal inference, time-series forecasting, survival analysis, Bayesian inference) to analyze business problems
• Create compelling data narratives that drive senior-level decisions about product, pricing, growth, and retention
• Set standards and best practices for KPIs, metrics, and experimentation across the company
• Foster a culture of data-driven decision making through mentorship and skills development, especially regarding analytical rigor and communication