Growth Data Science AI Engineer

DocuSign
Bengaluru
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Communication","Presentation","Team collaboration","Problem-solving"]

Growth Data Science Engineer to build the data and AI systems powering DocuSign’s self-serve growth, bridging data science and data engineering. You’ll design robust data pipelines, deploy AI-driven features, and enable real-time experimentation and reporting. Collaborate with Growth, Product, Engineering, and Marketing to translate customer intent into automated product experiences and scalable data infrastructure.

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FursaFursa
DocuSign
DocuSign
2 months ago

Growth Data Science AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Growth Data Science Engineer to build the data and AI systems powering DocuSign’s self-serve growth, bridging data science and data engineering. You’ll design robust data pipelines, deploy AI-driven features, and enable real-time experimentation and reporting. Collaborate with Growth, Product, Engineering, and Marketing to translate customer intent into automated product experiences and scalable data infrastructure.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design, build, and maintain scalable data pipelines that ingest and process product telemetry and behavioral signals to support growth experiments and reporting
  • •Develop and maintain automated dashboards in Tableau to provide real-time visibility into experiment performance, funnel health, and AI model accuracy
  • •Utilize agentic AI tools like Claude Code to rapidly prototype features, refactor data processing scripts, and automate manual engineering workflows
  • •Implement and manage the technical frameworks required for A/B testing and causal inference, ensuring growth experiments are architected for accuracy and scale
  • •Partner with Engineering to ensure growth data is properly instrumented and flows correctly between systems of record and product platforms

Key Requirements

  • •5+ years of experience in data engineering, data science, or a related technical role, ideally within a SaaS growth environment
  • •Strong command of Python and SQL, with experience building production-grade data pipelines (e.g., using dbt, Airflow) and creating impactful Tableau visualizations
  • •Experience using AI-assisted coding tools (e.g., Claude Code or GitHub Copilot) to improve development velocity and code quality
  • •Deep understanding of data warehousing concepts, telemetry instrumentation, and API integrations
  • •Practical knowledge of experimentation frameworks, including A/B testing and statistical significance
Experience:5+ yearsSaaSGrowthData engineeringAITableau
Skills:CommunicationPresentationTeam collaborationProblem-solving
Languages:English
Tech Stack:PythonSQLDbtAirflowTableauClaude CodeGitHub CopilotData warehousingTelemetryAPI

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
Glassdoor: 3.6
WebsiteLinkedInGlassdoor