Data Science Intern

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).

You will be joining the Data Science team to support core Docusign products. As a Data Science intern, you will partner with product managers, engineers, designers, leadership, and marketing team to build ML models and deliver data driven insights. You will also be responsible to develop potential new testing methodologies and build platforms and tools to scale experimentation. You will also help build the Data Science models to optimize customers' journeys. You will also build data pipelines to extract, transform and load data from and to a myriad of data systems within Docusign. You will learn about the problems/needs our teams have and will be asked to build, plan, execute, and automate a keystone project to identify and address one of those needs/problems.

This role is not eligible for sponsorship or CPT.

This position is an individual contributor role reporting to the Director, Core Data Science.

Responsibility

• Drive success of the company's goals and objectives through achieving individual sales quotas
• Develop and negotiate enterprise level proposals and contracts
• Craft and deliver customized sales presentations and products demonstrations, by phone and via online demo
• Forecast sales activity and revenue achievements accurately through proper use of sales tools
• Collaborate effectively and engage various pre/post sales resources including Sales Development Representatives, Market Development Representatives, Solutions Engineers, Account Managers, Partner Account Managers, as well as Legal, Security, Professional Services and Customer Support

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.

Basic

• Currently pursuing a BS, MS or PhD in related field and enrolled for one quarter or semester post internship
• Experience in Python and SQL (i.e. MySQL, SQL Server, etc.)

Preferred

• Strong problem-solving abilities and eagerness to tackle complex challenges
• Excellent communication and interpersonal skills
• Ability to work effectively in a collaborative team environment
• Self-motivated with a strong work ethic and a desire to learn and grow
• Ability to receive and give feedback
• Proven analytical thinking, problem-solving, time management, and organizational skills
• Interest in Data Science, Analytics and Machine Learning
• Pursuing PhD in Statistics, Computer Science or Engineering with specialization in machine learning, AI
• Experience with or knowledge of machine learning (i.e. linear/logistic regression, etc.) and statistical analysis
• Experience with or knowledge of the software development lifecycle/agile methodology
• Experience with or knowledge of Github, JIRA/Confluence

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

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

This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.

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.

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