Collaborate with the Clio products teams to identify opportunities, develop hypotheses, and provide input that drive growth.
Identify new questions about our business, product, and customers that lead to impactful insights.
Build predictive and prescriptive AI and ML solutions and deploy them in production.
Apply rigorous statistical analysis and data mining techniques to evaluate impact of different product features and other business initiatives.
Innovate and experiment with new applications of statistical analysis, machine learning, GenAI, LLMs, etc. to unlock new product opportunities.
Build a scientific culture 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.
Requirements
5+ years applied experience in data science.
Experience in analytics working with product and user behavior data, e.g., retention or churn analysis.
The ability to translate business requirements into data science solutions.
Proficiency in database modeling, SQL, and data warehousing principles.
Proficiency in developing analysis in Python and experience with relevant ML libraries and frameworks (e.g., pandas, PyTorch, scikit-learn)
Proficiency with building ML/AI pipelines and relevant tools (e.g., Kedro, MLFLow)
Strong team player mindset, while able to work under your own initiative and prioritize time and tasks effectively.
Excellent written and verbal communication skills.
Demonstrate a keen interest in improving your craft by using AI.
Benefits
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data sciencestatistical analysisdata miningmachine learningpredictive analyticsprescriptive analyticsdatabase modelingSQLPythonML libraries