Expert Data Scientist needed to standardize and expand data science platform capabilities, develop data science models addressing regulatory topics, and contribute to thought leadership research.

Requirements

Bachelor’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.
6 years in data science (or no experience, if possess Doctoral Degree or higher, as described above).

Experience working with multiple data science and data management platforms, including Palantir Foundry, Azure, Snowflake, and others.
Demonstrated knowledge of and abilities with data science standards and processes (model evaluation, optimization, feature engineering, etc.) along with best practices to implement them
Competency in software engineering, statistics, and machine learning techniques as they apply to data science deployment

Competency in commonly used data science and/or operations research programming languages, packages, and tools
Hands-on and theoretical experience of data science/machine learning models and algorithms
Ability to synthesize complex information into clear insights and translate those insights into decisions and actions. Demonstrated ability to explain in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines.

Competency in the mathematical and statistical fields that underpin data science
Mastery in systems thinking and structuring complex problems
Ability to develop, coach and teach career level data scientists in data science/artificial intelligence/machine learning techniques and technologies