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Tatari

Data Science, Intern

Job Posted 11 Days Ago Posted 11 Days Ago
Los Angeles, CA
Internship
Los Angeles, CA
Internship
As a Data Science Intern, you'll solve optimization problems using machine learning, automate data tasks, and analyze trends with real-time data.
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Tatari is on a mission to revolutionize TV advertising. We work with some of your favorite disruptor brands—like Calm, Vuori, Rocket Money, and hundreds more—to grow their business 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. Our technology and services are pushing the industry forward, enabling businesses of any size to advertise on TV.

Named one of the 16 Hottest Ad Tech Companies by Business Insider and Best Places to Work by Inc. Magazine, Tatari is experiencing rapid growth. Our executive team is comprised of former founders and senior leaders at fast-rising startups like Shazam, TrueCar, AdapTV, and LiveRail and larger, more established tech companies like Amazon, Google, Meta, Microsoft, and Yahoo. 

We’re looking for a full-time data scientist intern to join us for summer 2025. 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, 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.

What You'll Do:

  • Explore and refine algorithms and machine learning models to improve the performance of the predictive models that power our product features
  • Collaborate closely with Engineering to use and improve our internal R&D software stack
  • Analyze business impacts of predictive algorithm improvements
  • Present & discuss findings and results to stakeholders across the company

Qualifications:

  • Currently enrolled in a graduate program in any of the named fields (Data Science, Statistics, Computer Science, Mathematics, Physics, or other STEM field)
  • You have not yet graduated, and you will be continuing with school after this internship
  • Strong interest in designing, and developing analytics and predictive modeling
  • Experience with or interest in Data Manipulation Software (e.g., SQL, Python, Pandas)
  • 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 to learn to manipulate, analyze, and interpret large amounts of data and to organize findings and translate into actionable insights using original or innovative techniques
  • Knowledge of statistics and probability, particularly their application in systems analysis and operations research
  • Nice to have: experience building and optimizing machine learning models
  • Nice to have: experience with collaborative software engineering using git/GitHub

Benefits + Perks:

  • Competitive salary ($70-90K annual)
  • You can pick where you want to be for the summer: San Francisco or Los Angeles
  • Hybrid schedule: minimum 2 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.


#LI-DNI

Top Skills

Pandas
Python
SQL
HQ

Tatari San Francisco, California, USA Office

835 Market St., Suite 450 , Offices 273 & 255, San Francisco, CA, United States, 94105

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