5+ years of experience making significant impacts in a professional data science or machine learning role
Bachelors degree in Computer Science, Engineering, Analytics or a related field required
A history of and passion for driving important decisions using data and data storytelling
A love of learning and continuous development, including staying at the forefront of the latest advances in data science and machine learning. Broad-scale community contributions to the fields of data science and machine learning in the way of conference presentations, professional publications, and/or recognized internet presence are a plus
Proven knowledge, skills, and abilities in creating, developing, and applying a variety of new or existing machine learning and statistical algorithms, particularly Causal Impact, Linear Programming, Bayesian Neural Networks, and Markov Decision Process
Expert-level Python and/or R knowledge, skills, and abilities. Spark or PySpark experience is a strong plus
Excellent statistical analysis skills, with a solid understanding of experimental design and time series analysis a strong plus
Superior analytical and problem solving skills
Expert-level knowledge, skills, and abilities in database manipulation, query languages, and graph data schemas
Experience manipulating complex data to apply business rules for improved feature engineering within data lakes, distributed systems, and data streams
Experience in MLOps a strong plus but not required