Data Science Intern

DocusignSan Francisco, CA
7dHybrid

About The Position

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

Requirements

  • 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.)

Nice To Haves

  • 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

Responsibilities

  • 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
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