DocuSign

2 weeks ago

Lead Product Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Spearhead analytical strategy for Intelligent Agreement Manager (IAM) and next-generation agentic AI features by bridging Product and Engineering. Define telemetry architecture and key metrics, govern product telemetry strategy, and partner to build high-fidelity data pipelines. Use advanced modeling, cohort analysis, and rigorous experimentation to optimize cross-product journeys and LLM-based performance. Create dashboards and communicate insights to non-technical stakeholders to accelerate adoption.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Act as a subject matter expert translating business and product goals into rigorous technical data requirements for Engineering.
•Partner with Global Data Analytics to oversee scalable data pipelines and maintain architectural integrity.
•Define and govern product telemetry strategy to ensure high-fidelity data collection across IAM and agentic workflows.
•Identify patterns in cross-product usage cohorts and adoption signals to inform roadmap recommendations.
•Design experimentation frameworks beyond basic A/B testing, and oversee automated dashboards and analytical tools to drive adoption.

Pay and Benefits

Salary: USD 186,100 - 300,550 annually

Perks:Paid LeaveParental LeaveHealth InsuranceRetirementLearning Budget

Key Requirements

•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 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 with statistical analysis, experimental design, and data modeling, including A/B testing and cohort analysis.

Experience:12+ yearsSaaSCloud

Education:Bachelor's

Skills:Cross-functional collaborationInfluenceCommunicationProblem-solving

Languages:English

Tech Stack:SQLTableauPower BIHEXLLMA/B testingCohort analysisData modelingMachine learningAgentic AITelemetryDashboardsExperimental design

Company Brief

DocuSign

Provides a cloud-based electronic signature and intelligent agreement management platform that automates document workflows, identity verification, contract lifecycle management, and agreement analytics for enterprises and individuals worldwide.

Industry: LegalTech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2003

Glassdoor: 3.6

Website LinkedIn Glassdoor

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DocuSign

2 weeks ago

Lead Product Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Act as a subject matter expert translating business and product goals into rigorous technical data requirements for Engineering.
•Partner with Global Data Analytics to oversee scalable data pipelines and maintain architectural integrity.
•Define and govern product telemetry strategy to ensure high-fidelity data collection across IAM and agentic workflows.
•Identify patterns in cross-product usage cohorts and adoption signals to inform roadmap recommendations.
•Design experimentation frameworks beyond basic A/B testing, and oversee automated dashboards and analytical tools to drive adoption.

Pay and Benefits

Salary: USD 186,100 - 300,550 annually

Perks:Paid LeaveParental LeaveHealth InsuranceRetirementLearning Budget

Key Requirements

•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 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 with statistical analysis, experimental design, and data modeling, including A/B testing and cohort analysis.

Experience:12+ yearsSaaSCloud

Education:Bachelor's

Skills:Cross-functional collaborationInfluenceCommunicationProblem-solving

Languages:English

Tech Stack:SQLTableauPower BIHEXLLMA/B testingCohort analysisData modelingMachine learningAgentic AITelemetryDashboardsExperimental design

Company Brief

DocuSign

Industry: LegalTech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2003

Glassdoor: 3.6

Website LinkedIn Glassdoor