Telecommute Product Data Scientist Jobs (NOW HIRING)

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).

As a Lead Data Scientist, you will spearhead the analytical strategy for Docusign's Intelligent Agreement Manager (IAM) and next-generation Agentic AI features. You will serve as the primary bridge between Product and Engineering, setting the vision for telemetry architecture, defining key performance metrics, and orchestrating analytical roadmaps. This role requires moving beyond reactive reporting to proactively shaping the 'test-and-learn' product lifecycle through advanced modeling, experimental design, and cross-functional leadership. You work directly with stakeholders to turn data into a competitive advantage for our IAM and Agentic initiatives.

This position is an individual contributor role reporting to the Vice President, Operations & Analysis.

Responsibility

• Act as the subject matter expert, translating abstract business goals and abstract product goals into rigorous technical data requirements for Engineering stakeholders

• Partner with Global Data Analytics to oversee the evolution of scalable data pipelines and architectural integrity

• Define and govern the product telemetry strategy, partnering with Engineering to ensure high-fidelity data collection across the integrated IAM suite and Agentic workflows

• Identify patterns in cross-product usage cohorts and adoption signals, synthesizing these into roadmap recommendations for senior leadership and product managers

• Design rigorous experimentation frameworks that move beyond basic A/B testing to optimize complex, cross-product user journeys and LLM-based feature performance

• Oversee the development of automated dashboards and analytical tools that allow business users to independently interpret performance and drive adoption

• Serve as the primary analytical partner to Product, Engineering, and Research, identifying and prioritizing high-impact data opportunities that accelerate IAM and Agentic initiatives

• Communicate complex analytical findings and modeling frameworks to non-technical stakeholders, influencing strategy across functional lines

• Act with a sense of urgency to resolve analytical roadblocks and proactively solicit cross-functional input to ensure data initiatives meet business objectives

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

• BA/BS degree in a quantitative field (e.g., Statistics, Math, CS, Economics) or equivalent practical experience

• 12+ years of experience in product analytics or data science within a SaaS/Cloud environment

• Experience mapping holistic user journeys by joining data across disparate product ecosystems to measure multi-product adoption funnels

• Experience translating abstract product goals into rigorous technical telemetry requirements and partnering with Engineering to implement them

• Experience with SQL for data analysis and validation; experience designing and maintaining automated dashboards in tools like Tableau, Power BI, or HEX

• Experience in statistical analysis, experimental design, and data modeling to solve complex business problems

• Experience communicating complex technical findings and data strategy to non-technical stakeholders

Preferred

• Exceptional ability to lead through influence, navigating cross-functional and organizational lines to align Product and Engineering roadmaps

• Deep expertise in evaluating LLM-based product features and optimizing "human-in-the-loop" agentic workflows

• Experience designing and refining machine learning models with a focus on user intent, behavior prediction, and user segmentation

• Mastery of A/B testing, cohort analysis, and iterative testing methodologies to drive optimization in complex, multi-stage user journeys

• Ability to synthesize product performance metrics and integration data into actionable recommendations that shape long-term product strategy

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: $186,100.00 - $300,550.00 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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