About the job

5+ years of experience applying data science and machine learning to real-world problems.
Strong foundation in statistics, experimental design, and machine learning methods.
Proficiency in Python (and/or R) and SQL, with experience in common data science libraries.
Hands-on experience with the modeling lifecycle: problem framing, EDA, feature engineering, model development, and evaluation.
Proven ability to ramp quickly and deliver insight in fast-moving, ambiguous environments.
Excellent communication and data storytelling skills, including the ability to explain complex results simply.

Requirements added by the job poster

• 1+ years of work experience with Python (Programming Language)