Data Science Manager (Hybrid)
Leads a team of data scientists building ML/AI models for Homebase product features (scheduling, hiring, payroll, pricing) and internal sales/marketing decisions, moving models from proof-of-concept to production. Requires 6+ years in data science, 2+ years leadership, and SQL/Python. Hybrid in Toronto with in-office Tuesdays and Wednesdays.
- Compensation
- CA$170K–CA$200K / yr
- Location
- Toronto
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data science
- Posted
Skills
Must have
- 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 (optimization, traditional ML, or frontier models)
- Proven track record of shipping ML models into production
- Proficient in SQL and Python
- Strong people leader with a focus 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 where speed and ownership matter
- Brings curiosity, empathy, and a growth mindset to problem-solving and leadership
Full description
Hi, Future Homie!
At Homebase, you’ll join a team that’s bold, fast-moving, and obsessed with helping small businesses thrive. We build with empathy, act with urgency, and take big swings that drive real-world impact. Here, every Homie shows up to raise the bar, support one another, and celebrate wins as a team.
We’re not just building an app—we’re building unstoppable teams. So what do you say, are you in?
📍Your Impact Starts Here
We’re hiring a Manager, Data Science who’s excited to lead a team transforming how data powers product, platform, and people at Homebase. This role is ideal for someone who wants to shape the future of applied AI at scale—leading everything from intelligent scheduling and hiring models to supporting internal sales and marketing decisions. You’ll manage a growing team of data scientists and partner with platform engineering to bring models from proof-of-concept to production.
If you’re excited about data science and AI, team leadership, and high-ownership environments, you’ll thrive here.
These are the key ways you’ll contribute and create impact in this role:
- Lead and grow a team of high-performing data scientists; mentor them to think like product and business owners
- Support end-to-end delivery of models powering product features (e.g., scheduling, hiring, payroll, pricing, personalization) and internal systems (e.g., sales/marketing targeting)
- Champion experimentation: design A/B and multivariate tests that help us move faster and make better decisions
- Collaborate with Engineering, Product, and Design to ensure data and AI are embedded into user experiences from day one
- Serve as a trusted thought partner to cross-functional leaders, product managers, and executive stakeholders
🚀 The Foundation for Success - These are the experiences and strengths that will set you up for success in this role:
- 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 (optimization, traditional ML, or frontier models)
- Proven track record of shipping ML models into production
- Proficient in SQL and Python
- Strong people leader with a focus 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 where speed and ownership matter