Senior Growth Data Scientist

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).

We're looking for a strategic, execution-minded Senior Data Scientist to drive Docusign's new customer growth. Partnering closely with a cross-functional squad - including Growth Product Management, Marketing, Sales, Strategy & Ops, Brand, Engineering, and Customer Success - you will drive inbound demand and new customer acquisition by optimizing Al-driven discovery (AEO/GEO), inbound demand generation, performance marketing, and website conversion. You will lead strategic analyses and experimentations to discover, validate, and scale new ways to drive self-serve acquisition, expansion, and retention.

You will build the measurement framework for how Docusign shows up in Al-driven discovery - tracking LLM share of voice, citation frequency, and sentiment - while connecting the dots from upstream acquisition signals to downstream revenue across both self-serve and sales-assisted motions. In this high-impact, hands‑on position you will lead regular performance readouts, design and analyze end-to‑end experiments, and deliver clear, compelling insights that help Docusign win in the Al-driven buying era.

It's an ideal opportunity for a business‑minded analytics leader who thrives in cross‑functional environments, operates as an individual contributor, and wants to propel Docusign’s growth trajectory to new heights. 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 data into business impact.

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
• Define, build, and own the measurement framework for AEO/GEO - including LLM share of voice, citation frequency, sentiment scoring, and competitive positioning within Al response
• 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, Brand, 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, attribution modeling, media mix analysis) to understand buyer behavior across Al-assisted, organic, and paid channels
• Leverage Al-assisted tools to accelerate analysis cycles, automate reporting, and scale the team's analytical capacity

Hybrid: Employee divides their time between in-office and remote work. Access to an office location is…