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 seeking a strategic, execution-minded Senior Data Scientist to serve as the powerhouse behind new customer growth. You will partner closely with a cross-functional squad to expand a self-serve engine that reaches customers through a seamless omni-channel experience. The role involves leading strategic analyses and hands-on experimentation to discover and scale new ways to drive acquisition, expansion, and retention. In this high-impact position, you will convert data into go-to-market decisions while designing experiments that pave the way for a frictionless customer journey. This is an ideal opportunity for a business-minded analytics leader to operate as an individual contributor and propel Docusign’s growth trajectory to new heights. This position is an individual contributor role reporting to the Growth Data Science Principal. Responsibility Set the analytics strategy and roadmap for the New Customer Acquisition space, aligning with company‑wide growth objectives and steering high‑impact initiatives 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 proactively, 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 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 Experience with experimentation frameworks (A/B testing, causal inference) and strategic analysis Experience in SQL plus Python or R, with strong command of visualization tools such as Tableau, Looker, or equivalent Experience distilling complex analytical findings into concise, actionable recommendations for executive audiences Experience independently identifying growth opportunities and strategically influence cross-functional teams Preferred Prior partnership with Growth Product Management 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 #LI-Hybrid #LI-SA4
Senior Growth Data Scientist
DocuSign · Enterprise · Bangalore, India · Marketing & Communications
Senior Data Scientist role focused on driving customer growth through strategic analysis and hands-on experimentation within a cross-functional squad. The role involves identifying growth opportunities, designing experiments (A/B tests, causal inference), and translating complex analyses into actionable recommendations for senior leadership to influence go-to-market decisions and customer journey optimization.
What you'd actually do
- Set the analytics strategy and roadmap for the New Customer Acquisition space, aligning with company‑wide growth objectives and steering high‑impact initiatives
- 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 proactively, 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
- Provide regular reporting on key metrics to executive leadership, highlighting successes, identifying risks, and recommending proactive solutions
Skills
Required
- SQL
- Python or R
- Tableau, Looker, or equivalent visualization tools
- Experimentation frameworks (A/B testing, causal inference)
- Predictive modeling
- Customer segmentation
- LTV analysis
- Forecasting
- Scenario modeling
- Strategic analysis
- Communication and presentation skills
Nice to have
- Growth analytics
- Strategic/consulting analytics
- Sales-operations analytics in a SaaS environment
- Growth Product Management
- GTM leadership
- Hybrid self-serve / sales-assisted SaaS business models
- MBA, MS, or PhD in a quantitative discipline
What the JD emphasized
- 8+ years of experience in Analytics, Data Science, or related roles
- Experience with experimentation frameworks (A/B testing, causal inference)
- Experience independently identifying growth opportunities and strategically influence cross-functional teams