2023 Summer Data Science Intern - Remote

$40.00 hourly
  • Workiva
  • Remote
  • Mar 06, 2023
Intern Data Programming

Job Description

2023 Start Dates:

This position has opportunities to start in the Summer. Please see our start dates below.

Summer Internships: Monday, May 15, 2023

  • 40/hours per week max

Sponsorship requirements:

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

Job Summary

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.
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 Hourly

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

Where You’ll Work

Our values drive how we work and who we hire. You will see these values ingrained in how we support our customers, work with team members, build our products and in the work environment we’ve created.

  • Customer Success: Always delight our customers.

  • Trust: Rely on each other. 

  • Integrity: Do the right thing, every time. 

  • Collaboration: Share resources and work together. 

  • Innovation: Keep creating solutions and finding better ways. 

  • Inclusion: Support a diverse community where we all belong. 

  • Accountability: Be responsible for your success and failure.

We believe our people are our greatest asset, and our unique culture gives employees the opportunity to make an impact everyday. We give our employees the freedom and resources they need—backed by our culture of collaboration and diverse thought—to continue innovating and breaking new ground. We hire talented people with a wide range of skills and experiences who are eager to tackle some of today’s most challenging problems.

Workiva is an Equal Employment Opportunity and Affirmative Action Employer.  We believe that great minds think differently.  We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation.  Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression genetic information, marital status, citizenship status or any other protected characteristic.  We strongly encourage and welcome people from historically marginalized groups to apply.