Senior Data Scientist

About the role

Job Duties Growth Strategy & Experimentation: Collaborate with the Growth and Insights teams to identify opportunities, develop hypotheses, and run experiments that drive growth. Identify new questions about our business, product, and customers that lead to impactful growth insights. Establish requirements and best practices for event tracking, testing frameworks, and other data collection to enable new product insights in a scalable and predictable way. Advanced Modeling & Forecasting: 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). Optimize model accuracy using advanced techniques. Innovate new techniques in statistical analysis, machine learning, and data mining to unlock opportunities in our products. Cross-Functional Influence & Culture: 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

• Experience & Impact:
• 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.
• Core Technical Expertise:
• 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.
• Specialized Modeling & Experimentation:
• 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.
• System & Cloud Proficiency:
• 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 .
• System Awareness: Familiarity with the process of productionizing ML models and applying principles of maintainable, scalable ML code.
• Education & Communication:
• Education: Master's or PhD in Computer Science, Physics, Statistics, Mathematics, or a related quantitative field preferred.
• Communication: Exceptional ability to effectively communicate complex technical concepts, analytical findings, and strategic recommendations to both technical and product/business stakeholders.
• This role is a backfill for an existing position. What you will find here:
• Compensation is one of the main components of Clio's Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.
• Some highlights of our Total Rewards program include:
• 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
• The expected salary range* for this role is $136,000 to $160,000 to $184,000 CAD. There are a separate set of salary bands for other regions based on local currency.
• Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility

Benefits

Additional Information

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely. We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice .

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