6+ years of industry experience in data science with a BS, MS, or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent.
Proficient in SQL, Hive, SparkSQL, and programming languages such as Python and/or R, Tableau, and familiarity with Databricks, AWS ecosystem of tools is preferred.
In-depth knowledge of statistical techniques, supervised/unsupervised ML paradigms, and hands-on expertise in deep learning and NLP techniques.
Experience in building end-to-end reusable data pipelines from data acquisition to model output delivery and insight generation.
Skilled in identifying where data can most impact communicating findings and recommendations to partner teams and drive discussions.
Quick learner and adaptable, able to work independently in a fast-paced environment with strong communication skills and a proven ability to influence business leaders.