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Homebase (YC W21)

Data Science Manager

Homebase (YC W21)

. Lead and grow a team of high-performing data scientists .

Posted 10/21/2026full-timeToronto • CanadaMid-LevelSenior💰 CA$170,000 - CA$240,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading data science teams, mentoring professionals, and delivering machine learning models in production. Proficient in SQL and Python, with a strong focus on collaboration and driving outcomes in AI-driven environments.

Highest-signal resume keywords
Data Science LeadershipMachine Learning OptimizationSQL ProficiencyPython ProficiencyCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ScienceApplied Machine LearningAI Product DevelopmentModel DeliveryA/B TestingMultivariate TestingMachine Learning ModelsOptimization TechniquesTraditional MLFrontier Models
Soft Skills
People LeadershipMentoringEmpathyCuriosityGrowth Mindset
Industry Keywords
Hybrid EnvironmentAI-First EnvironmentProduct ManagementBusiness PartnershipStakeholder Engagement

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Lead and grow a team of high-performing data scientists
  • Mentor data scientists to think like product and business owners
  • Support end-to-end delivery of models powering scheduling, hiring, payroll, pricing, personalization, sales, and marketing systems
  • Design A/B and multivariate tests to improve decision-making
  • Collaborate with Engineering, Product, and Design to embed data and AI into user experiences
  • Act as a thought partner to cross-functional leaders, product managers, and executive stakeholders

Requirements

What you’ll need
  • 6+ years of experience in data science, applied machine learning, or AI product development
  • 2+ years in a people leadership role, mentoring and growing data scientists
  • Strong background in machine learning, including optimization, traditional ML, or frontier models
  • Proven track record of shipping ML models into production
  • Proficient in SQL and Python
  • Strong people leadership skills focused on growth, empathy, and impact
  • Strong ability to partner cross-functionally with business and product teams
  • Commitment to driving outcomes in a hybrid, AI-first environment
  • Curiosity, empathy, and a growth mindset

Benefits

Comp & perks
  • Stock options
  • TFSA/RRSP with 4% company match
  • Comprehensive medical, dental, and vision coverage for you and your dependents
  • Flexible PTO
  • Company holidays
  • Designated focus periods
  • Paid AI tools with minimal restrictions
  • Maternity/Parental Leave EI top-up support after 6 months of service
  • Work From Anywhere Month
  • Meeting-free weeks yearly
  • Life insurance
  • Short- and long-term disability coverage
  • Meals provided
  • Team offsites
  • Customer Days
  • Hybrid work arrangement