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

• Advanced degree in Computer Science, Statistics, Economics, or a related field
• Proven success in driving data-driven decision making and growth initiatives
• Experience with statistical modeling, machine learning, and data visualization tools
• Strong communication and collaboration skills, able to work effectively with cross-functional teams
• Ability to manage multiple projects simultaneously and meet tight deadlines

Skills

• Data analysis and interpretation
• Experimentation design and analysis
• Attribution modeling
• Causal inference techniques
• Product and growth analytics
• Financial modeling and valuation
• Collaborative problem-solving

Benefits

• Competitive total rewards package including base salary, equity (stock options), and benefits
• Regular salary and equity range updates based on industry standards
• Flexible work arrangements and remote work options available
• Comprehensive health and wellness programs
• Professional development and training opportunities

Pay

• US employees (any location): $239,000 - $298,800
• Canadian employees (any location): CAD 225,900 - 282,400

Schedule

• Full-time position