Growth Data Scientist

Location

IN-Bangalore, India

Work mode

hybrid

Type

full-time

Department

Marketing & Communications

Last seen

22h ago

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 Docusign is looking for a strategic, execution-minded Growth Data Scientist to be the engine behind the self-serve growth motion, ensuring customers seamlessly discover, adopt, and expand their usage. Partnering with a cross-functional squad, you will use data and insights to help build and scale systems that accelerate self-serve adoption and drive durable customer value. You will lead strategic analyses and hands-on experimentation to uncover, validate, and scale new ways to drive product-led acquisition, seamless onboarding, and self-serve expansion. In this high-impact role, you will design and analyze product-led growth experiments while delivering compelling insights that directly inform product, marketing, and go-to-market execution. The ideal candidate combines best-in-class analytical skills with a strong strategic mindset and a proven record of turning customer behavior into measurable self-serve growth and revenue impact. This position is an individual contributor role reporting to the Director, Growth Analytics. Responsibility Translate complex data and 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 Design, implement, and analyze experiments (A/B tests, causal inference) that inform product and GTM decisions and quantify business impact Proactively identify growth opportunities and risks, using forecasting and scenario modeling to guide resource allocation and prioritization 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 3+ years of experience in Analytics, Data Science, or related roles - ideally spanning product/growth analytics, strategic/consulting analytics, or sales‑operations analytics in a SaaS environment 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 Excellent communication and presentation skills with the ability to present complex data analysis, insights, and recommendations to senior leadership 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) 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 [email protected]. If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at [email protected] for assistance. Applicant and Candidate Privacy Notice #LI-Hybrid #LI-SA4

Basic 3+ years of experience in Analytics, Data Science, or related roles - ideally spanning product/growth analytics, strategic/consulting analytics, or sales‑operations analytics in a SaaS environment 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 Excellent communication and presentation skills with the ability to present complex data analysis, insights, and recommendations to senior leadership 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)

Docusign is looking for a strategic, execution-minded Growth Data Scientist to be the engine behind the self-serve growth motion, ensuring customers seamlessly discover, adopt, and expand their usage. Partnering with a cross-functional squad, you will use data and insights to help build and scale systems that accelerate self-serve adoption and drive durable customer value. You will lead strategic analyses and hands-on experimentation to uncover, validate, and scale new ways to drive product-led acquisition, seamless onboarding, and self-serve expansion. In this high-impact role, you will design and analyze product-led growth experiments while delivering compelling insights that directly inform product, marketing, and go-to-market execution. The ideal candidate combines best-in-class analytical skills with a strong strategic mindset and a proven record of turning customer behavior into measurable self-serve growth and revenue impact. This position is an individual contributor role reporting to the Director, Growth Analytics. Responsibility Translate complex data and 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 Design, implement, and analyze experiments (A/B tests, causal inference) that inform product and GTM decisions and quantify business impact Proactively identify growth opportunities and risks, using forecasting and scenario modeling to guide resource allocation and prioritization Apply advanced analytical techniques (e.g., predictive modeling, customer segmentation, LTV analysis) to understand customer behavior, forecast outcomes, and inform strategic initiatives

Seekless

Product

Find jobsPricing

Legal

PrivacyTermsCookies

← Back

DocuSign