Data Scientist

Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

More than 150,000 legal professionals use Clio to run their legal practices. They come in all sizes, specializing in every field of law, and each one has unique needs. Clio solves many of their biggest problems out of the box, but every legal practice is different.

We are currently looking for a new Data Scientist, to join our Data Insights team and work closely with Clio’s products and business teams.

You thrive on both analytical challenges and working closely with product development and customer-facing professionals. You will collaborate with everyone from product managers to business leaders and developers, and will guide rapid iterations of hypothesis, prioritization, experimentation / analysis and strategy setting – extract valuable insights, enhance our decision-making processes and contribute to the development of innovative financial products.

You will be working alongside a cross-functional team of data scientists, embedded within Clio’s products and business teams, developing AI and ML solutions to understand Clio’s customers, to bring them cutting-edge AI and GenAI products, and to recommend proactive and efficient ways to serve them better. You will play an integral role, enabling business leaders across Clio make rigorous data-driven decisions. You will help our business grow, help our customers succeed, and continuously improve the way we operate.

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.

• 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.

• 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 AI

• 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 (LangChain/Graph)

• A graduate degree in a relevant quantitative discipline (computer science, statistics, mathematics, physics, engineering) .

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, and Dublin) to be in office minimum 2 days per week on our Anchor Days. 

• 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​

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

Disclaimer: We only communicate with candidates through official @clio.com email addresses.