Data Science Manager (Hybrid)
- Salary
- CA$170K - CA$240K
- Level
- Lead
- Work type
- Hybrid · Toronto
Not stated in the posting: visa.
Open. First seen 21 October 2026.
About the role
Homebase's standard text
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.
Homebase's standard text
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
Homebase's standard text
🚀 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
- Brings curiosity, empathy, and a growth mindset to problem-solving and leadership
Homebase's standard text
🤝 The Homie Way - These principles guide everything we do—from how we work and make decisions to how we show up for each other.
- 💡 Be Customer Obsessed – Solve problems with empathy and creativity.
- ⚡ Move Fast, Learn Fast – Experiment, take action, and grow every day.
- 🎯 Own Your Impact – Think big, focus on what matters, and make decisions you stand behind.
- 🏆 Master Your Craft – Excellence fuels impact—show up, step up, and make your mark.
- 🏅 Win Together – Put goals over roles, lead with trust, and connect to our mission and each other.
What We Offer
- 💰 Ownership & Savings: Stock options + TFSA/RRSP with 4% company match
- 🏥 Health & Wellness: Comprehensive medical, dental, and vision for you and your dependents
- ⏰ Paid Time Off: Flexible PTO + company holidays + designated focus periods
- 🤖 AI access, for real: We invest in builders and believe that curiosity shouldn't have a paywall. That means you'll have access to paid AI tools with minimal restrictions, so you can build, experiment, and level up your craft.
- 👶 Family Support: Maternity/Parental Leave EI top-up support offered (after 6 months of service)
- 🌟 Work Your Way: Work From Anywhere Month + meeting-free weeks yearly
- 🛡️ Protection Plans: Life insurance + short/long-term disability coverage
- 🍽️ Workspace Perks: Meals provided, team offsites, and Customer Days
- 💼 Our Hybrid Rhythm: We believe collaboration drives impact. That’s why Tuesdays and Wednesdays are our required in-office days—a time to move faster as a team, build deeper connections, make better decisions, and build together.
What to Expect During the Interview Process
- Meet the Talent Acquisition team, Mavel W.
- Meet the Hiring Manager
- Participate in a Technical Deep Dive
- Participate in a Leadership Interview
- Background Check + Offer Stage
- Welcome to the team, Homie 🎉
Homebase's standard text
💜 Belonging at Homebase - We're committed to fostering a welcoming space where every Homie can be their full self. Experience comes in many forms—so if you're excited about this role, even if you don’t meet 100% of the qualifications, we encourage you to apply!
👋 Hey, We’re Homebase
Homebase is the everything app for hourly teams—built to simplify the day-to-day and superpower local businesses. With tools for scheduling, time clocks, payroll, communication, HR, and more, we help teams stay connected and in control. Today, over 150,000 small (but mighty) businesses rely on us to make work radically easier. Together, we’ve tracked over a billion hours for 2M+ workers—and we’re just getting started.
Homebase's standard text
At Homebase, we celebrate diversity and are proud to be an equal opportunity employer. We welcome all candidates and do not discriminate based on any legally protected status. If you need accommodations during the hiring process, please let us know—we’re committed to ensuring fair and equitable access for all.
What this role asks for
Standard for data science / ML roles
Machine Learning · Python · SQL
Common in data science / ML postings at any company.
65% of this description is written for the role. The rest is Homebase's standard text, folded away below.
Compared with Homebase's other open jobs.
The team: Engineering HIRES STEADILY
This role is one of 8 open in Engineering. 3 were posted in the last 30 days and the oldest in May: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
LLM (4 of 8), Ruby (3 of 8), Ruby on Rails (3 of 8), CI/CD (2 of 8), Machine Learning (2 of 8), PostgreSQL (2 of 8), Python (2 of 8)
OTHER ROLES ON THIS TEAM
- Data & ML Platform Engineer (Hybrid) posted Oct 21
- Senior Software Engineer II, Full Stack - Growth (Hybrid) posted Sep 30
- Principal Engineer, Core Product (Hybrid) posted Sep 4
- Software Engineer II, Full Stack – Hiring Assistant (Hybrid) posted Sep 1
- Senior Engineering Manager, Homebase Assistant (Hybrid) posted Aug 12
- Senior Engineering Manager, Product Growth (Hybrid) posted Jul 31
- Senior Software Engineer, Infrastructure/Developer Tooling (Hybrid) posted May 20
From the team and dates on Homebase's own job board.
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