Data Science Analyst, Intern
$30 - $38 per hourSupportFinity
Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world’s fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital‑like experience, enabling businesses of any size to advertise on TV. That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era. 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 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 Benefits + Perks Competitive salary ($30.00 - $38.00 hourly) You can pick where you want to be for the summer: San Francisco, Los Angeles, and New York City! Hybrid schedule: 2-3 days per week Snacks, drinks, and catered lunches at the office Team building events Laptop and peripherals provided At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated. #J-18808-Ljbffr
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# Entry Level Human Resources & Data AnalystSocial Capital ResourcesContractentryNew York, New York, US$52k - $67kPosted Yesterday##... ...Capital Resources is hiring a Entry Level Human Resources & Data Analyst. This is a contract role in New York. Part of Social Capital Resources...InternshipPermanent employmentContract workTemporary work$65k - $75k
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