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 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 the Director, Product Data Science.

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 Preferred Ability to present data in a visual format and explain the insights clearly and concisely Ability to delivery on multiple competing priorities

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: Washington, Maryland, New Jersey and New York (including NYC metro area): $38/hour - $40/hour Work Authorization Notice: Please note that we do not provide visa sponsorship or immigration support for this position.

Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.

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.

Equal Opportunity Employer 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.

EEO Know Your Rights poster:

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 the Director, Product Data Science.

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
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 Preferred Ability to present data in a visual format and explain the insights clearly and concisely Ability to delivery on multiple competing priorities

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