Senior Data Science Manager

Responsibilities

• Lead and develop a team of Data Scientists embedded across go-to-market, growth product, monetization, and core product experiences
• Define the measurement and experimentation strategy across the customer lifecycle — from acquisition and activation to monetization, expansion, and retention — ensuring our investments are grounded in rigorous analysis and trusted data
• Elevate the craft of experimentation, pricing and monetization analytics, and commercial performance measurement, balancing analytical precision with decision velocity
• Partner closely with Product, Marketing, Sales, and Finance to shape roadmaps, evaluate ROI, and guide revenue forecasting and capital allocation decisions
• Translate complex quantitative signals into clear insights that influence product direction and revenue strategy
• Increase team leverage by building scalable analytics systems and self-serve capabilities that power reliable, AI-enabled insights across growth, monetization, and core product experiences
• Operate effectively in ambiguity, setting clear priorities that balance user value, growth, and long-term business impact

Requirements

• Have 10+ years of experience, with 3+ years leading high-performing data teams
• Bring deep experience in growth, monetization, and product analytics, along with a proven track record of partnering with Product, Marketing, Sales, and Finance to shape roadmaps and drive revenue outcomes
• Demonstrate strong business judgment, with the ability to balance analytical rigor with decision velocity in high-impact commercial environments
• Be highly fluent in experimentation design, attribution, and causal inference, with the ability to raise the bar on analytical craft across a team of senior ICs
• Have experience building scalable analytics frameworks and self-serve capabilities that increase leverage and support AI-enabled insight generation within growth and product domains
• Thrive in ambiguity, setting clear priorities that balance user value, growth, and long-term business impact

Qualifications

• PhD or Master's degree in Statistics, Computer Science, Economics, or a related field
• Experience with statistical modeling, machine learning, and data analysis tools
• Proven track record of successful data-driven initiatives and projects
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Ability to manage multiple projects simultaneously and meet tight deadlines

Skills

• Expertise in growth, monetization, and product analytics
• Strong understanding of experimentation design, attribution, and causal inference
• Experience in building scalable analytics frameworks and self-serve capabilities
• Ability to translate complex quantitative signals into clear insights
• Strong business acumen and the ability to balance analytical rigor with decision velocity

Benefits

• Competitive total rewards package including base salary, equity (stock options), and benefits
• Regular updates to salary and equity ranges based on industry survey data
• Target new hire base salary ranges for US employees: $239,000 - $298,800
• Target new hire base salary ranges for Canadian employees: CAD 225,900 - 282,400

Pay

• Base salary range: $239,000 - $298,800 for US employees
• CAD 225,900 - 282,400 for Canadian employees

Schedule

• Full-time position