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’re looking for a strategic, execution-minded Growth Data Scientist to be the data science engine behind Docusign’s self-serve retention motion — ensuring our customers stay active, get value, and renew through intuitive, data-driven product and lifecycle experiences. Partnering closely with a cross-functional squad — including Growth, Product, Lifecycle Marketing, Customer Success, Engineering, and Strategy & Ops — you will use data and insights to help build and scale the systems that prevent churn and drive durable customer value. You will lead strategic analyses and hands-on experimentation to uncover, validate, and scale new ways to reduce active and partial churn by improving usage, value realization, plan fit, and save-flows. You will sit at the center of Docusign’s retention strategy, translating behavioral signals, product telemetry, and customer intent into decisions that shape how customers stay, downgrade, upgrade, or renew. In this high-impact, hands-on role, you will own retention performance readouts, design and analyze cancel-save and customer lifecycle experiments, and deliver clear, compelling insights that directly inform product, marketing, and go-to-market execution. You will help Docusign evolve to a proactive, intelligent, and customer-centric retention engine — where the right intervention happens at the right moment in the customer journey. Our ideal candidate combines best-in-class analytical skills, a strong strategic mindset with a bias for execution, a passion for experimentation 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 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 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 2+ 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 Experience with experimentation frameworks (A/B testing, causal inference) and strategic analysis Experience with 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 Preferred 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 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) Wage Transparency Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skill