Data Science Manager (Toronto)

Data Science Manager (Toronto)

24 Oct
|
Homebase
|
Toronto

24 Oct

Homebase

Toronto

- Toronto - M3 Toronto - M3 CA$170K – CA$200K
- Toronto - M4 Toronto - M4 CA$200K – CA$240K

Our Compensation Philosophy

We believe compensation should be fair, transparent, and reflective of impact. At Homebase, compensation is based on role level, skills, and performance. During the interview process, we evaluate experience, scope, and impact to determine the appropriate level for the role, which maps to a defined salary range. Posted ranges reflect the expected starting range for the role, and offers are made within that range, with flexibility based on experience, market context, and leveling. As impact grows, so does compensation over time.

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

Robust 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

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

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 A

📌 Data Science Manager (Toronto)
🏢 Homebase
📍 Toronto

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