Tatari is on a mission to revolutionize TV advertising. We work with some of your favorite disruptor brands—like Calm, Fiverr, and Rocket Money—to grow their business through linear and streaming TV. We combine a sophisticated media buying platform with proprietary analytics to turn TV advertising into an automated, digital-like experience.

Named one of the Hottest Ad Tech Companies by Business Insider, and Best Places to Work by Inc. Magazine for the third consecutive year, our team includes founders and leaders from Google, Microsoft, Stripe, Shazam and Facebook. We are growing rapidly as we accelerate our mission to automate the complex landscape of managing and measuring television advertising. We have a long-term goal to make marketing on TV available to businesses of any size.

We’re looking for an experienced Senior Data Scientist to join the team! In this role, you will work in a fast-paced environment, with diverse data sets and technologies to produce production quality, scalable, automated solutions to a diverse set of challenging data problems. 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 marketing analytics for tv and streaming video media buying.

Description:

  • Collaborating closely with our engineering and technology teams, the Data Scientist will build predictive models and perform advanced statistical analyses to provide insights for optimizing our business.
  • Specifically, the job duties will include the following:
    • Applying fluent understanding of state-of-the-art machine learning techniques to build predictive models and recommender systems;
    • Applying deep understanding of statistics and probability to devise improvements to existing algorithms;
    • Contributing to developing and maintaining internal analysis software libraries;
    • Developing new intellectual property; 
    • Analyzing large amounts of data to identify relationships and trends, translating them into actionable insights for our product team and clients;
    • Reporting findings, both orally and in written documents containing charts, graphs and tables

Qualifications: 

  • Masters’ degree in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.)
  • 5+ years experience as a Data Scientist in a technology environment
  • Deep knowledge of statistics, probability, and machine learning techniques

  • Advanced experience in data manipulation tools (e.g., SQL, Python, pandas, pyspark) 
  • Strong background designing and developing software to implement advanced analytic algorithms
  • A quick learner, with the ability to work independently and adaptably in a fast-paced environment
  • Strong strategic thinking capabilities and project management skills
  • Nice to have:
    • PhD in a technical field
    • Industry experience with development and deployment of predictive models or recommendation systems

Benefits:

  • Competitive salary ($140-189K/annually)
  • Equity compensation
  • 100% health insurance premium coverage for you and your dependents
  • Unlimited PTO and sick days
  • Snacks, drinks, and catered lunches at the office
  • Team building events 
  • $1000 annual continued education benefit
  • $500 WFH reimbursement
  • $125 pre-tax monthly stipend to spend on whatever you want
  • Annual mental health awareness app reimbursement
  • FSA and commuter benefits
  • Monthly Company Wellness Day Off
  • Hybrid RTO (currently 2 days in office). This is an in-office position.

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.

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