EvenUp is looking to hire an Economist / Data Scientist to drive high-impact decisions across pricing, growth, and product monetization by applying expertise in causal inference, econometrics, and behavioral analysis to answer critical business questions and shape the company's use of economics and data science for long-term value.
Requirements
- Graduate-level research experience on data-intense problems or 1+ years of industry experience in machine learning or economics-focused roles
- A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one
- Proven ability to identify and measure causal business impacts using appropriate statistical techniques, especially in complex or observational settings
- Strong engineering skills with expertise in R or Python and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
- An ability to identify and prioritize high-impact problems and deliver solutions that provide reasonable trade-offs between urgency and quality
- Familiarity with experimentation platforms (e.g., Optimizely, internal tools) and BI tools (e.g., Looker, Tableau)
Responsibilities
- 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, and Ops teams 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
Other
- This is a hybrid role with the expectation of working at least 3 days a week from one of our office hubs in San Francisco or Toronto.
- Strong verbal and written communication skills - ability to distill complex findings from models and economic reasoning into compelling insights and communicate effectively with technical and non-technical audiences
- Prior full time or intern experience in SaaS or B2B subscription businesses and/or in the legal domain
