Senior Machine Learning Scientist
QlooFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need a Masters’ degree in a technical field like Computer Science, Mathematics, Physics, or Data Science, advanced experience with data manipulation tools such as Python, pandas, pyspark, and SQL, deep knowledge of statistics, probability, and machine learning techniques, and experience building and validating ML models.
The role involves working in a fast-paced environment with diverse data sets and technologies, collaborating closely with engineering, technology, and client-facing teams, and having the freedom to utilize the latest technologies.
This information is not specified in the job description.
This information is not specified in the job description.
A strong candidate is a quick learner with the ability to work independently and adaptably in a fast-paced environment, strengths in creativity, a strong background in designing and developing software for advanced analytic algorithms, and experience contributing to analysis software libraries.
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.