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.
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.
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.
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.
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.
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.
System Awareness: Familiarity with the process of productionizing ML models and applying principles of maintainable, scalable ML code.
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.
Our salary bands are designed to reflect the range of skills and experience needed for the position and to allow room for growth at Clio. For experienced individuals, we typically hire at or around the midpoint of the band. The top portion of the salary band is reserved for employees who demonstrate sustained high performance and impact at Clio. Those who are new to the role may join below the midpoint and develop their skills over time. The final offer amount for this role will be dependent on geographical region, applicable experience, and skillset of the candidate.
Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility
Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.
Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
Learn more about our culture at clio.com/careers
We're a Human and High Performing AI company, meaning we use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater efficiency. However, we've built our systems to ensure that a human always reviews AI-generated output, and we never make automated hiring decisions.
Disclaimer: We only communicate with candidates through official @clio.com email addresses.
