Senior Data Scientist at Clio focusing on growth strategy and advanced modeling. Collaborating with teams to enhance legal AI technology and transform the legal experience.
Responsibilities
Collaborate with the Growth and Insights teams to identify opportunities, develop hypotheses, and run experiments that drive growth.
Build predictive models to forecast the impact of specific growth initiatives.
Design and deploy end-to-end forecasting pipelines (from feature engineering to automated monitoring).
Build a scientific culture in the Product team by enabling discussions with data, disseminating best practices, and leading by example.
Translate model outputs into actionable business narratives for department-level stakeholders.
Requirements
5+ years of experience in Data Science, Machine Learning, or a highly quantitative field.
Demonstrated track record of deploying models that drove significant business impact and delivered measurable results.
Expertise in Python and SQL.
Advanced proficiency in statistical analysis, machine learning, and data mining techniques.
Proven ability to apply rigorous statistical analysis to solve complex product and business problems.
Expertise in probabilistic forecasting and time-series analysis, including the ability to model and handle data irregularities (seasonality, outliers, cold-starts).
Proven experience in the design and evaluation of A/B tests and other product/business experiments.
Advanced experience with a major cloud provider (e.g., AWS, GCP, or Azure) and platforms like Databricks.
Proficiency with common ML frameworks such as PyTorch or TensorFlow.
Familiarity with the process of productionizing ML models and applying principles of maintainable, scalable ML code.
Master's or PhD in Computer Science, Physics, Statistics, Mathematics, or a related quantitative field preferred.
Exceptional ability to effectively communicate complex technical concepts, analytical findings, and strategic recommendations to both technical and product/business stakeholders.
Benefits
Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin and Sydney) to be in office min. twice per week.
Flexible time off policy, with an encouraged 20 days off per year.
$2000 annual counseling benefit
RRSP matching and RESP contribution
Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years
Data Scientist at Desjardins, a financial services cooperative, developing advanced analytics, machine learning and AI models. Advising stakeholders and supporting data - driven business decisions.
Data Scientist building IFRS 9, behavioural, and predictive credit - risk models for Financeit’s Canadian point - of - sale financing platform. Automating analytics and translating borrower data into actionable risk insights.
Scientifique de données principal optimisant acquisition, fidélisation et monétisation chez Shakepay, plateforme canadienne de services financiers Bitcoin. Pilotage de l'expérimentation, de l'analyse statistique et des décisions de croissance.
Senior Data Scientist developing machine learning and LLM solutions for Qventus, transforming healthcare operations. Building production models, experiments, and data pipelines that improve patient outcomes.
Data Scientist developing statistical and machine learning algorithms to detect bots and fraud. Supporting HUMAN Security’s platform that protects enterprises and internet platforms from cybercrime.
Data Manager leading clinical - trial database, validation, reconciliation, and lock activities for ClinChoice, a global full - service CRO. Hybrid permanent role in Mississauga, Ontario.
Data Scientist developing and maintaining credit risk models for Desjardins, a financial cooperative. Advising teams on risk quantification, Basel/IFRS standards, and credit decisions.
Senior Data Scientist optimizing Instacart’s $1B+ grocery advertising business through pacing, bidding, targeting, and experimentation. Driving production algorithms and revenue outcomes.
Senior Data Scientist scaling Instacart’s Meals initiative for grocery delivery. Leading experimentation, KPI tracking, and product analytics to drive engagement, activation, and reactivation.