Data Scientist

We are currently looking for a new Intermediate 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, guiding rapid iterations of hypothesis, prioritization, experimentation / analysis, and strategy setting to extract valuable insights, enhance our decision-making processes, and contribute to the development of innovative financial products.

The team:

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, bring them cutting-edge AI and GenAI products, and recommend proactive and efficient ways to serve them better. You will play an integral role, enabling business leaders across Clio to make rigorous data-driven decisions, helping our business grow, helping our customers succeed, and continuously improving the way we operate.

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;
• 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. You will also be part of our larger Data & AI team for learning, career development, and company-wide data initiatives.

What you'll work on:

• Collaborate with the Clio products teams to refine business problems, develop hypotheses, and provide input that drives growth.
• Suggest new questions about our business, product, and customers that lead to impactful 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 the impact of different product features and other business initiatives.
• Employ statistical analysis, machine learning, GenAI, LLMs, etc. to unlock new product opportunities.
• Support scientific thinking in product and business teams by enabling discussions with data, disseminating best practices, and leading by example.
• Effectively communicate complex technical concepts and findings to both technical and non-technical audiences.

What you may have:

• 3+ years applied experience in data science.
• The ability to translate business requirements into data science solutions.
• 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.
• Ability to write structured SQL queries for answering questions and manipulating data.

Serious bonus points if you have:

• Understanding of SaaS business metrics and growth drivers.
• Experience with FinTech concepts.
• 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 (e.g., Kedro, MLFlow).
• Experience with large data sets and user behavior data.
• Experience with NLP and LLMs.

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 min. once per week on our Anchor Day.
• Flexible time off policy, with an encouraged 20 days off per year.
• RRSP matching and RESP contribution.
• Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years.

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.

Summary:

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