Credit risk modelling data scientist developing and maintaining models for Desjardins. Guiding risk quantification, credit decisions, compliance, and practitioner - led modelling projects.
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
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