Remote job
Senior Data Scientist
Job details
About this role
Role overview
Use data to guide decisions across product, customer, and go-to-market teams for an enterprise AI coaching platform. You will investigate how people use the product, identify operational and commercial opportunities, and help establish trusted analytics practices as the organization scales. The role combines hands-on analysis with cross-functional work to make findings useful to both technical and non-technical colleagues.
Responsibilities
- Analyze platform usage, feature engagement, and user interactions to identify actionable patterns. - Find friction and opportunities across user journeys, and communicate their implications to product and customer teams. - Support A/B tests, assess AI model performance, and evaluate how new features affect experience and outcomes. - Build self-service dashboards and recurring reports that make data accessible across teams. - Translate complex analyses into clear narratives that support decisions by varied audiences. - Work with Product and Engineering to define tracking requirements and improve the quality, consistency, and reliability of analytics.
Requirements
- At least 5 years of experience in data analytics; B2B SaaS or AI-focused startup experience is relevant. - Bachelor’s degree or higher in data science, statistics, computer science, economics, or a related quantitative field. - Strong SQL skills, including writing complex queries. - Ability to communicate analytical findings clearly to technical and non-technical stakeholders. - Comfortable collaborating with Product, Engineering, Sales, and Customer Success teams.
Benefits and work setup
This is a full-time hybrid role, with at least three office days per week in Toronto or New York City, depending on residence. The team works across time zones, including the UK, and candidates need valid travel documents without work authorization restrictions. Compensation includes base pay and bonuses, health coverage, paid time off, company-wide recharge periods, parental leave, retirement support, and equity. Employment and education checks are part of the hiring process.