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 Job Designation Hybrid: Employee divides their time between in-office and remote work.

Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation) Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job.

Preferred job designations are not guaranteed when changing positions within Docusign.

Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.

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 Life at Docusign Working here Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work.

You can count on us to listen, be honest, and try our best to do what’s right, every day.

At Docusign, everything is equal.

We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life.

Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it.

And for that, you’ll be loved by us, our customers, and the world in which we live.

Accommodation Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures.

If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.

If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.

Applicant and Candidate Privacy Notice:

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
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