Job Description & How to Apply Below
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
Location & Work Model
This is a hybrid role, with an expectation of being in one of our Toronto office hubs at least three days per week.
About the Team
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.
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 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
What You'll Do
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
What We’re Looking For
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…
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