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 hands-on, execution-minded Senior Data Scientist to join Docusign's Marketing Measurement team. You will own the full range of data science and analytics work strategic analysis, experimentation, stakeholder insights while also building the modeled data layers, operational dashboards, analysis agents, and productized integrations that make measurement self-serve and scalable. In this high-impact position you will own the productization layer for marketing measurement, architecting data infrastructure that makes sophisticated methodology accessible at scale. You will independently drive complex cross-functional initiatives from definition through adoption. Over time you will extend these practices across the broader team, operating as an internal center of excellence for how we model, build, and ship data products. Our ideal candidate combines strong analytical foundations with a product mindset someone who thrives at the intersection of data modeling, data product design, and marketing measurement, with a bias for shipping working assets over polishing decks.

This position is an individual contributor role reporting to the Director, Marketing Data Science.

Responsibility

Serve as DRI for measurement product initiatives end-to-end scoping, building, shipping, driving adoption across Marketing and Sales
Architect and maintain the data modeling layer for marketing measurement clean, tested, documented models that the whole team builds on
Productize measurement outputs into dashboards, automated reports, and analysis agents that stakeholders use without analyst intervention
Push insights into end-user tools (CDPs, marketing platforms, CRM) so measurement drives action at the point of decision
Partner with the pod's technical lead on methodology; translate attribution and incrementality science into production-grade data assets
Define and enforce modeling standards (naming, testing, documentation) that scale across pods
Collaborate with Data Engineering on pipeline reliability, orchestration, and upstream data quality
Report regularly to executive stakeholders, surfacing measurement results with clear next steps

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 marketing measurement
Experience pulling insight from raw data and shipping durable models and products
Experience with systems thinking, including how channels interact, where data flows break, and which upstream changes cascade downstream
Experience writing sophisticated SQL, including well-architected models and clearly documented transformations
Experience building structured data layers in Snowflake and dbt (or equivalent), including semantic/metrics definitions that keep reporting consistent across tools
Experience with marketing measurement concepts (attribution, incrementality, media mix)
Experience with advanced SQL and Python (or R); production experience with dbt, Airflow, or similar
Experience with a BI platform (Tableau, Looker, Hex, or equivalent)

Preferred

Experience in B2B SaaS
Ability to ship early and iterate working assets over polished decks
Ability to see fragmented data sources as an opportunity to build something coherent the business relies on
Ability to exercise sharp judgment about what to measure and when "good enough" is the right call
Multi-touch attribution, media mix modeling, or incrementality testing at scale
CDPs (ActionIQ, Segment) and marketing platforms (Marketo, Salesforce)
Causal inference methods geo experiments, synthetic control, difference-in-differences
MS or PhD in a quantitative discipline (Statistics, Economics, Computer Science)

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

Washington, Maryland, New Jersey and New York (including NYC metro area): $140,100.00 - $206,775.00 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

Life at DocuSign

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

States Not Eligible for Employment

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

EEO Statement

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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Senior Data Scientist - Growth Marketing