Numerator
Data Science Analyst Intern
Numerator, Chicago, Illinois, United States, 60290
We are seeking an ambitious, curious, and detail-oriented Data Science Intern ready to make an impact in a data-centric environment. In this role, the intern will gain exposure to complex data analysis, handling vast data sets, and answering critical business questions. The position offers the opportunity to work with our passionate team of data scientists, engineers, and analysts on challenging real-world problems. The intern may also implement modern technologies and methodologies to enhance our client offerings. This hands-on, project-focused internship provides an excellent opportunity to expand your skill set in an industry setting.
Collaborate with cross-functional teams to explore, analyze, and develop data for strategic projects.
Assist data scientists with projects like forecasting, model tuning, AB testing, dashboarding, bias correction, segmentation, or panel statistics.
Conduct data science product research related to existing panel data methodologies, internal tooling, or new markets/vertical opportunities assessment.
Deliver actionable recommendations (Slides, Docs) and code (Python/SQL) based on your research and analysis.
Pursuing a BS in Engineering, Computer Science, Mathematics/Statistics, Analytics, or a related area
Basic knowledge of data science methodologies
Have a working proficiency in effectively using analytics software or data programming languages (e.g., R, Python, SQL, Excel, Tableau, etc.)
Exceptional communication and presentation skills
Collaborate with cross-functional teams to explore, analyze, and develop data for strategic projects.
Assist data scientists with projects like forecasting, model tuning, AB testing, dashboarding, bias correction, segmentation, or panel statistics.
Conduct data science product research related to existing panel data methodologies, internal tooling, or new markets/vertical opportunities assessment.
Deliver actionable recommendations (Slides, Docs) and code (Python/SQL) based on your research and analysis.
Pursuing a BS in Engineering, Computer Science, Mathematics/Statistics, Analytics, or a related area
Basic knowledge of data science methodologies
Have a working proficiency in effectively using analytics software or data programming languages (e.g., R, Python, SQL, Excel, Tableau, etc.)
Exceptional communication and presentation skills