Senior Machine Learning Scientist
QlooFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates must possess a Master’s degree in a technical field such as Computer Science, Mathematics, Physics, Data Science, or a related area, and have advanced experience in data manipulation tools including Python, pandas, pyspark, and SQL. A deep knowledge of statistics, probability, and machine learning techniques is required, along with experience building, testing, and validating machine learning models using state-of-the-art technology. Strong background in designing and developing software to implement advanced analytic algorithms is also necessary, as is the ability to quickly learn and adapt to a fast-paced environment.
The Research Data Scientist will collaborate closely with engineering and technology teams to build predictive models, measurement algorithms, and deep analyses to provide insights for optimizing Tatari’s business, specifically applying 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 the development and maintenance of internal analysis software libraries, and analyzing large amounts of data to identify relationships and trends, translating them into actionable insights for the product team and clients. They will also develop new intellectual property and report findings both orally and in writing.
Data-driven platform for TV advertising optimization
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.