The Data Science Intern acts as part of a collaborative team to generate insights and product features from data. Contributes to the discovery, requirements gathering, data acquisition and wrangling, pipeline monitoring, and model prototyping and improvement processes.

 

Responsibilities

  • Participate in discovery, requirements gathering, and exploratory data analysis
  • Assist team data engineers and ML engineers with the development and optimization of our data and model pipelines, as well as data cleaning/wrangling
  • Work with team data scientists to prototype, test, and refine machine learning models to solve real-world problems, including in production environments
  • Gain experience with using machine learning at scale

 

What You’ll Need
Education

  • Currently pursuing an undergraduate or higher degree in statistics, mathematics, computer science, software engineering, or a related field is required

 

Experience

  • Hands-on programming experience

 

Skills

  • Basic knowledge of machine learning techniques such as classification, regression, and clustering
  • Familiarity with statistical concepts such as distributions, statistical testing, types of variables
  • Ability to work within a distributed team
  • Strong communication and organizational skills
  • Interest in expanding skills applicable within a data org

 

Working Conditions & Physical Requirements:

  • Reliable internet access for any period of time working remotely, not in a Workiva office.

 

Sponsorship requirements:

  • Must be authorized to work in the United States and not require sponsorship now or in the future.
Bonus Experience:

  • Source control systems such as Git
  • Using real-world data for projects, including data cleaning and preparation
  • Data science libraries like pandas, scikit-learn, caret, mlr, Tensorflow
  • Using the command line for development tasks

How You’ll Be Rewarded:

  • Salary range in the US:

$40.00 – $40.00

  • 401(k) participation and match
  • Paid sick leave
  • A unique opportunity to further your learning experience through additional internship seasons

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