Early Career Data Scientist/Economist, EvenUp

• The ideal candidate for this role may be a recent economics PhD graduate with relevant research experience, typically in computationally intensive empirical topics, as well as some exposure to data management and data science
• More senior candidates are also welcome to apply
• We’re looking for someone with deep expertise in both economics and applied data science with the ability to frame business questions into well-scoped analytical or modeling problems
• 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
• 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

Desirable

• The Analytics team at Evenup plays a critical role in driving data-informed decision-making across the organization
• We partner closely with Product, Engineering, Operations, and Executive teams to uncover insights, build scalable data solutions, and enable a culture of data-driven decision making and continuous improvement
• Our team is responsible for everything from foundational data modeling and reporting to advanced analytics and forecasting
• We are looking for a curious, impact-driven early career Economist / Data Scientist to join our fast-paced, data-driven team
• You’ll work at the intersection of data, economics, and strategy to drive high-impact decisions across pricing, growth, and product monetization
• You will apply your expertise in causal inference, econometrics, and behavioral analysis to answer some of the most critical questions in our business, and shape the way we use economics and data science to drive long-term value
• 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