Staff Data Scientist

Candidates should possess fluency with machine learning algorithms and AI solutions, including deployment and monitoring in a production environment. A proven ability to create maintainable, iterative solutions and measure success using statistical methods is required. Excellent communication and collaboration skills are necessary for working with product, engineering, operations, and leadership. The role requires the ability to move quickly between problem areas, make practical recommendations, and autonomous decisions. Strong experience with data processing and machine learning in Python (over 5 years) and comfort with SQL for complex data analysis (over 5 years) are essential. A passion for mentorship and technical leadership in machine learning projects, along with an advanced degree in a relevant field, is also required. Bonus points include direct experience in content moderation, fraud, and spam detection, as well as familiarity with DBT, Airflow, SageMaker ecosystem, and Tableau.