Lead Data Scientist

Responsibilities:

Expert knowledge of statistics and machine learning methods, including regression, classification, time series analysis, clustering, simulation, dimension reduction
Demonstrated aptitude distilling complex business problems into clear data science and advanced analytics models and solutions that can and will be adopted and implemented
Ability to effectively lead projects from conception to conclusion, both independently and in a team environment (including working with both internal and external business partners)
Expertise developing and applying machine learning algorithms
Strong verbal and written communication and presentation skills, with the ability to translate complex concepts into actionable business insights
Proficient in Python, SQL, R
Experience working with data science tools (e.g., Databricks); distributed compute; manipulating, analyzing, and interpreting large-scale data; and scaling analytics in the cloud (e.g., Azure)
Proven track record of leading projects and cross-functional teams
Strong problem-solving and analytical thinking skills.

Qualifications:

Master's Degree in Data Science, statistics, mathematics, econometrics, engineering, physics, or other quantitative field of study