Lead Data Scientist, Self-Serve SMB Growth

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 Lead Data Scientist to be the data science powerhouse behind DocuSign’s transformation from Sales-Led to Self-Serve-Led growth for SMBs. Partnering closely with a cross-functional squad - including Growth Product Management, Marketing, Sales, Strategy & Ops, Lifecycle Marketing, Engineering, and Customer Success - you will expand our self-serve engine to reach and grow Docusign customers through a seamless omni-channel experience.

 

You will lead strategic analyses and hands-on experimentation to discover, validate, and scale new ways to drive self-serve acquisition, expansion, and retention. You’ll sit at the center of revenue strategy, converting data into product and go-to-market decisions that span analytics, product, marketing, operations, and sales.

 

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 pave the way for a frictionless customer journey. 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 Director, Growth Analytics.

 

 

Responsibility

• Set the analytics strategy and roadmap for the Self‑Serve SMB segment, 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, and with visualization tools such as Tableau, Looker, or equivalent

• Demonstrated ability to distill complex analytical findings into concise, actionable recommendations for executive audiences

• Proven ability to independently identify growth opportunities and strategically influence cross-functional teams

Preferred

• Excellent communication and presentation skills with the ability to present complex data analys