Job Details

Data Scientist

Chicago, IL | Full time

Job ID:

1202b-010DS

Duration:

Long Term

Experience:

2-3 years

Career Level:

Associate

Compensation:

DOE

Industry:

Information Technology and Services

Job Description

  • Transform raw data into meaningful and impactful analysis characterized by strong data governance, technique transparency and aggressive documentation.
  • Partner with product, engineering, machine learning, and international teams; use behavioral and transactional data to shed light on our user experience, identify opportunities for improvement, and drive decision-making.
  • Identify actionable metrics to understand the performance of products and algorithms, develop dashboards and/or reports to track performance, and ingrain these metrics into teams’ day-to-day decision-making.
  • Lead experimentation, help teams set great hypotheses, and deliver robust analysis of experiment results.
  • Continually evaluate and refine your technical toolkit; teach what you learn to the team.

Qualifications:

  • You have 1-3 years experience as an analyst or in a quantitative role in which you extracted meaning from big data sets with little engineering support.
  • You understand the principles of A/B testing, and love crafting and analyzing experiments.
  • You are proficient in SQL and have familiarity with either R or Python. Bonus points for experience with the Hadoop ecosystem or additional scripting languages (Scala, PHP, Ruby, etc.)
  • Experience with Looker, Tableau, or other data visualization software a plus.
  • You can communicate your insights verbally, visually, and in writing and care deeply about the quality and integrity of your work.
  • You are a strong, independent, analytical thinker who enjoys thinking about and solving complex and nuanced problems.
  • You care about reproducible work and have picked up tools to this end; you can teach others how to make their own work better and more efficient.
  • You are passionate about subjects such as experimental design, data visualization, and statistical analysis techniques.
  • Experience with a variety of geographic markets or different languages is a plus.