Senior Growth Data Scientist at Docusign | CA, US | Rezi

Senior Growth Data Scientist at Docusign

Senior Growth Data Scientist

Docusign · CA, US

2 weeks ago

Senior Growth Data Scientist

Docusign · CA, US

20 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this Senior Growth Data Scientist role.

Rezi rewrites your resume against Docusign's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Senior Growth Data Scientist posting at Docusign — free, in seconds.

About the Role

We're looking for a strategic, execution-minded Senior Data Scientist to drive Docusign's new customer growth. You will partner closely with a cross-functional squad to drive inbound demand and new customer acquisition by optimizing AI-driven discovery, 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. This is a high-impact, hands-on individual contributor role reporting to the Growth Data Science Principal.

Responsibilities

  • 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 AI 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 AI-assisted, organic, and paid channels.
  • Leverage AI-assisted tools to accelerate analysis cycles, automate reporting, and scale the team's analytical capacity.

Requirements

  • 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 AI-assisted tools (e.g., LLM-based coding assistants, AI 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.
  • Experience with SEO/AEO analytics, web analytics, or marketing attribution - particularly measuring organic and AI-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.
  • Excellent communication and presentation skills with the ability to present complex data analysis, insights, and recommendations to senior leadership.

Skills

  • SQL
  • Python
  • R
  • Tableau
  • Looker
  • AI-assisted tools
  • LLM-based coding assistants
  • AI analytics platforms
  • Experimentation frameworks
  • A/B testing
  • Causal inference
  • Strategic analysis
  • Predictive modeling
  • Customer segmentation
  • Attribution modeling
  • Media mix analysis
  • SEO/AEO analytics
  • Web analytics
  • Marketing attribution

Location

  • Hybrid

Work Type

  • Hybrid

Experience Level

  • Senior
  • 8+ years

Education Level

  • MBA
  • MS
  • PhD in a quantitative discipline (e.g., Statistics, Computer Science, Economics)

Salary/Compensations

  • California: $146,400.00 - $235,375.00 base salary
  • 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).

Benefits

  • 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

About the Company

  • 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.
  • 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).

Equal Opportunity

  • 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.
  • 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.
  • Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures.
  • 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.