Research Data Scientist at Tatari

San Francisco, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Advertising Technology, Media Analytics, Data ScienceIndustries

Skills

Key technologies and capabilities for this role

Machine LearningPredictive ModelingData AnalysisAnalyticsAutomationScalable SolutionsDeep LearningMeasurement Algorithms

Questions & Answers

Common questions about this position

What education is required for the Research Data Scientist role?

A Master’s degree in a technical field such as Computer Science, Mathematics, Physics, or Data Science is required; a PhD is nice to have.

What technical skills are needed for this position?

Advanced experience with Python, pandas, pyspark, and SQL is required, along with deep knowledge of statistics, probability, and machine learning techniques, plus proven experience building and validating ML models.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this Research Data Scientist position?

Strong candidates have a Master’s degree, advanced technical skills in Python/SQL/ML, the ability to work independently in a fast-paced environment, creativity in problem-solving, strategic thinking, project management skills, and excellent communication.

Tatari

Data-driven platform for TV advertising optimization

About Tatari

Tatari provides a platform that allows businesses to buy, measure, and optimize their TV advertising campaigns, making the process similar to digital advertising. The platform uses advanced analytics to deliver real-time data, helping clients make informed decisions about their advertising strategies. This enables them to identify the best networks and programs to reach their target audiences effectively. Unlike traditional TV advertising methods, Tatari's approach focuses on data-driven insights and performance measurement, allowing for flexible management of campaigns. The company's goal is to transform the TV advertising landscape by making it as measurable and manageable as digital ads, ultimately improving clients' advertising performance and return on investment.

San Francisco, CaliforniaHeadquarters

2016Year Founded

CONVERTIBLECompany Stage

Data & Analytics, Consumer SoftwareIndustries

201-500Employees