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 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

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.

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 analysis, insights, and recommendations to senior leadership

• 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)

Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Based on applicable legislation, the below details pay ranges in the following locations:

California: $140,000.00 - $225,075.00 base salary

This role is also eligible for the following:

• Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
• Stock: This role is eligible to receive Restricted Stock Units (RSUs).

Global benefits provide options for the following:

• Paid Time Off: earned time off, as well as paid company holidays based on region
• Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
• Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
• Retirement Plans: select retirement and pension programs with potential for employer contributions
• Learning and Development: options for coaching, online courses and education reimbursements
• Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events

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

This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.

It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.

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