Data Science Manager (Hybrid)

Role overview

Key contributions

• Lead and grow data scientists, mentoring them to think like product and business owners.
• Support end-to-end model delivery for scheduling, hiring, payroll, pricing, personalization, and internal sales and marketing systems.
• Design A/B and multivariate tests to support faster, better decisions.
• Collaborate with Engineering, Product, and Design to embed data and AI into user experiences.
• Advise cross-functional leaders, product managers, and executive stakeholders.

Experience and strengths

• At least 6 years of experience in data science, applied machine learning, or AI product development.
• At least 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 machine-learning models into production.
• Proficiency in SQL and Python.
• Strong people leadership, cross-functional partnership, curiosity, empathy, and a growth mindset.

Work arrangement

• The role is described as hybrid, with Tuesdays and Wednesdays as required in-office days.
• The employer also offers a Work From Anywhere Month.

Benefits

• Stock options and TFSA/RRSP with a 4% company match.
• Medical, dental, and vision coverage for the employee and dependents.
• Flexible paid time off, company holidays, and designated focus periods.
• Paid AI tools, parental leave EI top-up after six months, life insurance, and short- and long-term disability coverage.
• Meals, team offsites, and annual meeting-free weeks.

Interview process

• The process includes Talent Acquisition and hiring manager meetings, a technical deep dive, a leadership interview, and a background check before an offer.