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# execution-minded Lead Data Scientist

- **Company:** Docusign, Inc.
- **Location:** Jackson Township, NJ, United States (Remote available)
- **Experience:** Expert
- **Salary:** $146,400.0 - $235,375.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Information Engineering, Data Infrastructure, Digital Assets, Python (Programming Language), Marketing Information Systems, Raw Data, Salesforce.Com, SQL Databases, Data Streaming, Tableau (Software), Sql Optimization, Snowflake, Data Layers, Information Technology, Marketo, DocuSign, Looker Analytics
- **Published:** June 7, 2026
- **Apply:** https://www.dice.com/job-detail/37d0e19a-1568-4b3e-bb2f-2c084910e010

## About the Role

* 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)

## Description

We're looking for a hands-on, execution-minded Lead 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.


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