About Docusign 

Docusign Recruitment

Job Role: Data Science Intern

Qualification: Bachelors / Masters Degree

Experience: Fresher 

Batch: 2025 / 2024 / 2023 / 2022

Salary: $38.00/hour – $43.00/hour

Job Location: San Francisco, California

Last Date: ASAP

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What you’ll do

Docusign’s Product Data Science team is looking for a Data Scientist Intern to support the development of key data products and capabilities to enable data-driven product development and decision making. In this role, you would be part of the Product Data Science team and work directly in partnership with a variety of stakeholders including but not limited to Product, Engineering and User Experience partners to support and empower them with data-driven actionable insights. You will be embedded in specific product spaces requiring you to establish and grow relationships. As a Data Scientist Intern, you’ll dig into the data to uncover insights, identify opportunities for product improvements and new product development, define product metrics with goals, design experiments and develop data science models to drive customer experience, engagement, and adoption of Docusign’s products

This role is not eligible for OPT or sponsorship now or in the future.

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

Responsibility

• Collaborate with cross-functional teams to research, build and improve data analysis to identify opportunities for product improvements, new product features, product utilization, and improve customer experience, engagement, and retention
• Partner closely with the product managers, user researchers, engineers, and leadership to capture and prioritize potential insights, analysis, and data product opportunities that will drive maximum business impact
• Leverage data to develop actionable analytical insights and present findings to senior management
• Partner with Product teams to design, administer, and analyze the results of A/B and multivariate tests and other ML models
• Design and build dashboards to provide actionable insights and key business metrics
• Design, build and test reliable data pipelines to extract and transform data
• Identify, design, and implement process improvements by automating manual processes for greater efficiency
• Collaborate with stakeholders across organizations to support their data needs
• Implement data quality checks to maintain the high quality of data
• Optimize and maintain the existing pipelines
• Document the work in confluence and Alation

 

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

• Currently in the process of obtaining, a Bachelors/MS degree in Computer Science, Information Systems or other related engineering field
• Graduating in December 2025, May/June 2026
• English language proficiency: native or fluent
• Experience with SQL for data analysis and data validation
• Experience with data visualization tools such as Tableau, Power BI, or similar
• Experience with statistics and rigorous analytical techniques
• Experience in extracting, transforming and loading data using any data platform
• Experience solving real business problems using data and analytics
• Experience in working with cross-functional teams
• Capable of delivering on multiple competing priorities

Preferred

• Ability to present data in a visual format and explain the insights clearly and concisely
• Experience with A/B testing, cohort analysis, user segmentation, and other core product analytics methodologies
• Experience designing and refining machine learning models
• Experience with Python or R
• Familiarity with data engineering processes
• Highly motivated, organized, self-starter who thrives in a fast-paced environment

 

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: $38.00/hour – $43.00/hour