Hybrid Data Scientist, Economist

at EvenUp

• Job title: Data Scientist, Economist
• Job type: Full Time
• Experience level: Junior
• Salary: $114,188 - $163,621 per year
• Degree requirement: Postgraduate Degree
• Tech skills: Keras, Pandas, Python, Scikit-Learn, SQL, Tensorflow
• Location requirements: Hybrid, Toronto, Canada

About the role

• Data Scientist/Economist at EvenUp applying econometric techniques to shape data-driven decisions. Collaborating with cross-functional teams to uncover insights and drive growth for a legal tech startup.

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
• 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

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
• 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 communicate effectively with technical and non-technical audiences.

Benefits

• Choice of medical, dental, and vision insurance plans for you and your family
• Additional insurance coverage options for life, accident, or critical illness
• Flexible paid time off, sick leave, short-term and long-term disability
• 10 US observed holidays, and Canadian statutory holidays by province
• A home office stipend
• 401(k) for US-based employees and RRSP for Canada-based employees
• Paid parental leave
• A local in-person meet-up program
• Hubs in San Francisco and Toronto