Lead Data Scientist

About the Role

Key Responsibilities

• Set the analytics strategy and roadmap for the Self-Serve SMB segment, aligning with company-wide growth objectives and steering high-impact initiatives
• Design, implement, and analyze experiments (A/B tests, causal inference) that inform product and GTM decisions and quantify business impact
• Identify growth opportunities and risks proactively, using forecasting and scenario modeling to guide resource allocation and prioritization
• Translate complex analyses into clear, data-backed recommendations for senior leadership, influencing strategic direction across Growth, Product, Marketing, Sales, and Customer Success
• Provide regular reporting on key metrics to executive leadership, highlighting successes, identifying risks, and recommending proactive solutions
• Apply advanced analytical techniques (e.g., predictive modeling, customer segmentation, LTV analysis) to understand customer behavior, forecast outcomes, and inform strategic initiatives

Requirements

• 8+ years of experience in Analytics, Data Science, or related roles - ideally spanning growth analytics, strategic/consulting analytics, or sales-operations analytics in a SaaS environment
• Experience with experimentation frameworks (A/B testing, causal inference) and strategic analysis
• Experience in SQL plus Python or R, and with visualization tools such as Tableau, Looker, or equivalent
• Demonstrated ability to distill complex analytical findings into concise, actionable recommendations for executive audiences
• Proven ability to independently identify growth opportunities and strategically influence cross-functional teams

Nice to Have

• Excellent communication and presentation skills with the ability to present complex data analysis, insights, and recommendations to senior leadership
• Prior partnership with Growth Product Management or GTM leadership, influencing strategy through data-driven insights
• Experience operating in hybrid self-serve / sales-assisted SaaS business models
• MBA, MS, or PhD in a quantitative discipline (e.g., Statistics, Computer Science, Economics)

Benefits & Perks

• Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals
• Stock: This role is eligible to receive Restricted Stock Units (RSUs)
• Paid Time Off: earned time off, as well as paid company holidays based on region
• Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
• Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
• Retirement Plans: select retirement and pension programs with potential for employer contributions
• Learning and Development: options for coaching, online courses and education reimbursements
• Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events