What you'll do

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

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 experience with visualization tools such as Tableau, Looker, or equivalent
• Experience using Al-assisted tools (e.g., LLM-based coding assistants, Al analytics platforms) to accelerate analysis and automate workflows
• Experience distilling complex analytical findings into concise, actionable recommendations for executive audiences
• Experience independently identifying growth opportunities and strategically influencing cross-functional teams

Preferred

• Experience with SEO/AEO analytics, web analytics, or marketing attribution - particularly measuring organic and Al-driven traffic and its impact on pipeline
• Familiarity with LLM/AI-driven discovery trends and how they reshape buyer behavior (AEO/GEO landscape)
• 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

Wage Transparency

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: $146,400.00 - $235,375.00 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