Data Scientist

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 .

Summary:

Who you are:

We aren’t looking for just any traditional Data Scientist to join this team. We’re looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and lives and breathes our values. We’re looking for an innovator and a thought leader! We’re looking for someone who is:

Passionate about driving growth empirically;

Always looking to innovate with data and explore open-ended questions;

A strong partner to business and product stakeholders, with an ability to influence decision-making;

Strategically minded and never shies away from a challenge;

Self-motivated and able to work autonomously and collaboratively;

Agile and responsive, and comfortable with constant change.

You will help lay the foundation for this work by ensuring good data quality, data governance, and analytical practices. And you will also be part of our larger Data & AI team for learning, career development, and company-wide data initiatives.

Here’s what you’ll need to do:

Suggest and proactively pursue new questions about our business, product, and customers that lead to high-impact insights.

Work with other team members to develop predictive AI and ML solutions and deploy them in production.

Apply rigorous statistical analysis and data mining techniques to evaluate and clearly communicate the impact of different product features and other business initiatives.

Employ statistical analysis, machine learning, GenAI, LLMs, etc. to unlock new product opportunities.

Collaborate closely with product, marketing, and business teams to refine business problems, develop clear hypotheses, and provide data-driven recommendations that shape strategy.

Support scientific thinking in product and business teams by enabling discussions with data, disseminating best practices, and leading by example.

Effectively communicate and present complex technical concepts and findings to diverse stakeholders, ensuring insights are understood and acted upon.

You should have:3+ years applied experience in data science.

The ability to translate business requirements into data science solutions.

A proven ability to deliver actionable insights in a fast-paced, iterative environment.

Experience in developing analysis in Python and experience with relevant ML libraries and frameworks (e.g., pandas, PyTorch, scikit-learn)
Strong team player mindset, while able to work under your own initiative and prioritize time and tasks effectively.

Excellent written and verbal communication skills, with the ability to tell a compelling story with data to both technical and non-technical audiences.

Ability to write structured SQL queries for answering questions and manipulating data.

Demonstrate a keen interest in improving your craft by using AISerious bonus points if you have:

Understanding of SaaS business metrics and growth drivers.

Experience with Databricks Experience in analytics working with product and user behavior data, e.g., retention or churn analysis.

Experience with building ML/AI pipelines and relevant tools.

Experience with large data sets and user behavior data.

Experience with LLMs and GenAI (Lang Chain/Graph)
A graduate degree in a relevant quantitative discipline (computer science, statistics, mathematics, physics, engineering) .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, London, New York City and Sydney) to be in office min. twice per…