Data Science Analyst, Intern
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About this role
We’re looking for a full-time data science analyst intern to join us for the Summer 2026. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality, scalable and automated solutions for a diverse set of challenging data problems. Under the guidance of our Senior Data Scientists and Senior Data Analysts, you will have the freedom to utilize the latest technologies to solve challenging problems, create innovative applications from the ground up, and understand exactly what it takes to create a reliable online experience for our customers. This role collaborates closely with our technology teams to provide profound insights from your analysis, and optimize our business, with the ultimate goal of helping Tatari redefine the TV ad buying experience. This internship requires a minimum of 10 week commitment.
What You'll Do:
- Learn the ins and outs of TV advertising, from measurement to attribution
- Work cross-functionally with Tatari’s Revenue and Client Services teams to understand client needs, providing ad-hoc analyses to unlock client performance
- Partner with senior Data Science team members to improve existing business processes, from algorithm development to automation
Qualifications:
- Currently enrolled in an undergraduate program in any of the named fields: Data Science, Statistics, Computer Science, Mathematics, Physics, Business Administration, or Economics)
- Completed a minimum of two years of college/university by Summer 2026 with at least one academic term remaining after the conclusion of the internship
- Experience with data manipulation using Python (e.g. Pandas, Polars, Pyspark). SQL knowledge is a plus.
- A quick learner, with the ability to work independently in a fast-paced environment; adaptability and a strong self-teaching ethic are highly valued
- Strong strategic thinking capabilities
- Interest in learning to manipulate, analyze, and interpret large amounts of data and to organize findings and translate them into actionable insights using original or innovative techniques
- Bonus: Knowledge of statistics and probability