Lead Data Scientist

About the job

Company Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM). What You'll Do We are looking for a strategic, execution-minded Lead Data Scientist to be the powerhouse behind Docusign’s transformation from Sales-Led to Self-Serve-Led growth. Partnering with a cross-functional squad, you will expand the self-serve engine to reach and grow customers through a seamless omni-channel experience. You will lead strategic analyses and hands-on experimentation to discover, validate, and scale new ways to drive acquisition, expansion, and retention. In this high-impact position, you will lead performance readouts, design end-to-end experiments, and deliver compelling insights that pave the way for a frictionless customer journey. Our ideal candidate combines best-in-class analytical skills and a strong strategic mindset with a proven record of turning data into business impact. This position is an individual contributor role reporting to the Director, Growth Data Science. Responsibility • Set the analytics strategy and roadmap for the Self‑Serve-Led Growth segments, aligning with company‑wide growth objectives and steering high‑impact initiatives • Design, implement, and analyze experiments (A/B tests, causal inference) that inform product, marketing, and GTM decisions and quantify business impact • Proactively identify growth opportunities and risks, 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 • Proactively identify growth opportunities and risks, using forecasting and scenario modeling to guide resource allocation and prioritization • 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. What You Bring Basic • 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 • Deep expertise with experimentation frameworks (A/B testing, causal inference) and strategic analysis • Advanced proficiency in SQL plus Python or R, and strong command of 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 Preferred • Prior partnership with Growth Product Management, Marketing, 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) • Excellent communication and presentation skills with the ability to present complex data analysis, insights, and recommendations to senior leadership.

Requirements

• Analytics
• Data Science
• A/B Testing
• SQL
• Python
• R
• Tableau

Qualifications

• 8+ years of experience in Analytics, Data Science, or related roles
• MBA, MS, or PhD in a quantitative discipline

Preferred Technologies

• Analytics
• Data Science
• A/B Testing
• SQL
• Python
• R
• Tableau

Benefits

• Paid time off
• Paid parental leave
• Full health benefits
• Retirement plans
• Learning & development
• Compassionate care leave

About the company

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents.