[Remote] Staff Data Scientist | Modeling at Machinify

Candidates need experience solving real-world business problems with data-driven optimization and ML modeling, comfort measuring and optimizing business impact, proficiency with SQL and large-scale data, and experience building ML models using modern approaches like Neural Nets or Tree-ensembles from scratch. Comfort with at least one programming language such as Python or R is also required.

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The team builds machine learning models for large health plans to identify and audit claims errors from simple errors to fraud, helping select claims to audit and recover hundreds of millions of dollars each year.

A strong candidate has successfully solved real-world business problems with data-driven optimization and ML modeling, experience measuring business impact, and hands-on skills in SQL, large-scale data handling, programming (Python/R), and building ML models like Neural Nets or Tree-ensembles from scratch.