Senior Data Scientist

Candidates should possess a Bachelor’s degree in a STEM field, such as Statistics, Mathematics, Engineering, Biostatistics, Econometrics, Economics, Finance, or Data Science, and a graduate degree is strongly preferred. They must have at least 5 years of experience as a Data Scientist or Researcher in digital marketing, consumer advertisement, telecom, or related fields requiring customer-level predictive analytics. Advanced proficiency in statistical analysis using Python and relevant libraries is required, along with experience working with data processing, transformation, and building model pipelines utilizing tools like Spark, Airflow, and Docker. Familiarity with the ad-tech ecosystem, digital marketing data, and campaigns, or familiarity with US healthcare patient and provider systems (e.g., medical claims, medications) is also necessary. Candidates should have varied and hands-on predictive machine learning experience (including deep learning, boosting algorithms, and inference).