Data Scientist​/Economist

Even Up is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.

We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. Even Up is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, Signal Fire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at

This is a hybrid role, with an expectation of being in one of our Toronto office hubs at least three days per week.

The Analytics team at Even Up 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.

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.

• 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 Operations 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

• Frame business questions into well-scoped analytical or modeling problems, especially those with strategic or monetization impact
• Apply advanced statistical and econometric techniques (including causal inference and forecasting) to analyze business problems
• Create compelling data narratives that drive 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 strong analytical rigor and communication

• 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/Tensor Flow) tools
• Ability to identify and prioritize high-impact problems and deliver solutions that balance urgency and quality
• Strong verbal and written communication skills – ability to distill complex findings from models and economic reasoning into compelling insights and…