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 searching for a strategic and execution-minded Senior Growth Data Scientist to revolutionize our data insights at Docusign.

The Product Led Growth team at Docusign is driving high-volume experimentation, leveraging data to fuel decisions that will substantially grow Docusign's self-service business.

This Data Scientist will forge powerful partnerships across Product Management, Lifecycle Marketing, and Engineering to deliver data that will help improve customer experiences and turbocharge revenue growth.

In this high-impact, hands-on role, you will own the end-to-end development of robust self-service dashboards and AI-powered tools and deliver clear, compelling data products that directly inform product, marketing, and go-to-market execution.

You will help Docusign evolve to a more proactive, intelligent, and data-driven organization — where the right insight is accessible to the right person at the right moment.

Our ideal candidate combines best-in-class analytical skills, a strong strategic mindset with a bias for execution, a passion for visualization and continuous learning, and a proven record of turning usage, churn signals, and customer behavior into measurable retention and revenue impact.

This position is an individual contributor role reporting to the Director, Growth Analytics.

Responsibility Improve data literacy and unlock the power of data-driven insights by working directly with product and business leaders Reduce barriers to entry and make data accessible to more people by experimenting with cutting-edge tooling Build semantic data sets across multiple domain areas like Product and Marketing to enable insights through dashboards, AI, and other no-code methods Enhance insights for the Growth team by representing complex concepts in simple, easy-to-understand visualizations 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 5+ years of experience in Analytics, Data Science, or related roles - spanning product/growth analytics, strategic/consulting analytics, or sales‑operations analytics in a SaaS environment

Experience: in SQL plus Python or R

Experience: using visualization tools such as Tableau, Looker, or equivalent

Experience: distilling complex analytical findings into concise, actionable recommendations for executive audiences

Experience: creating clean and clear visualizations through dashboards and other tools used by non-technical stakeholders

Experience: with experimentation frameworks (A/B testing, causal inference) and strategic analysis Preferred Prior partnership with Growth Product Management or Marketing, 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 deeply understand user needs and tailor data and design to meet their use cases 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.

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We are searching for a strategic and execution-minded Senior Growth Data Scientist to revolutionize our data insights at Docusign.

The Product Led Growth team at Docusign is driving high-volume experimentation, leveraging data to fuel decisions that will substantially grow Docusign's self-service business.

This Data Scientist will forge powerful partnerships across Product Management, Lifecycle Marketing, and Engineering to deliver data that will help improve customer experiences and turbocharge revenue growth.

In this high-impact, hands-on role, you will own the end-to-end development of robust self-service dashboards and AI-powered tools and deliver clear, compelling data products that directly inform product, marketing, and go-to-market execution.

You will help Docusign evolve to a more proactive, intelligent, and data-driven organization — where the right insight is accessible to the right person at the right moment.

Our ideal candidate combines best-in-class analytical skills, a strong strategic mindset with a bias for execution, a passion for visualization and continuous learning, and a proven record of turning usage, churn signals, and customer behavior into measurable retention and revenue impact.

This position is an individual contributor role reporting to the Director, Growth Analytics.

Responsibility Improve data literacy and unlock the power of data-driven insights by working directly with product and business leaders Reduce barriers to entry and make data accessible to more people by experimenting with cutting-edge tooling Build semantic data sets across multiple domain areas like Product and Marketing to enable insights through dashboards, AI, and other no-code methods Enhance insights for the Growth team by representing complex concepts in simple, easy-to-understand visualizations
Basic 5+ years of experience in Analytics, Data Science, or related roles - spanning product/growth analytics, strategic/consulting analytics, or sales‑operations analytics in a SaaS environment

Experience: in SQL plus Python or R

Experience: using visualization tools such as Tableau, Looker, or equivalent

Experience: distilling complex analytical findings into concise, actionable recommendations for executive audiences

Experience: creating clean and clear visualizations through dashboards and other tools used by non-technical stakeholders

Experience: with experimentation frameworks (A/B testing, causal inference) and strategic analysis Preferred Prior partnership with Growth Product Management or Marketing, 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 deeply understand user needs and tailor data and design to meet their use cases