Data Scientist – Modeling

🕒 April 4

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Machinify

1001 - 5000 employees

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

☁️ SaaS

💰 $10M Series A - Machinify on 2018-10

Healthcare Insurance • Artificial Intelligence • SaaS

Machinify is a healthcare-focused AI platform and services company that reshapes healthcare payments and payment integrity. Its AI operating system unifies claims, medical records, contracts, and policies, and uses foundation models and task-specific agents to automate and improve coding, payment accuracy, recoveries, and cost avoidance. Machinify serves health plans (including 18 of the top 20), supports insourced, hybrid, or fully-managed deployments, and emphasizes measurable outcomes — reporting 85+ customers, 270M member lives covered, and $6B+ in annual cost avoidance and recoveries.

📋 Description

• Dive into various clinical and coding audits, unpacking the data that drives audit decisions, and understanding past outcomes. • Curate labeled data, hypothesize new features, and develop ML models that target claims for audit with even greater precision. • Measure model performance rigorously, translating outcomes into operational insights and recommendations for our clients. • Work with vast, nuanced data pipelines derived from intricate business workflows—often unclean and undefined—to refine them for robust modeling. • Enhance data pipelines, modeling infrastructure, and team tools to level up our capabilities and decision-making efficiency. • Build expertise in healthcare data and make an impact on the industry. Engage with clients and internal experts to refine model insights, ensuring alignment with real business needs.

🎯 Requirements

• You enjoy solving real-world business problems involving data-driven optimization and ML modeling - and have been doing that successfully for a while. • You are comfortable measuring and optimizing the direct business impact of work. • You are experienced with SQL, handling large-scale data, and are comfortable with at least one programming language (Python, R, etc.). • You have experience building ML models using modern ML approaches like Neural Nets or Tree-ensembles from scratch for new applications - making decisions relating to which supervised labels to use, the metric to optimize for, and the features likely to be useful.

🏖️ Benefits

• Work from anywhere in the US! Machinify is digital-first. • Top Medical/Dental/Vision offerings • FSA/HSA • Tuition reimbursement • Competitive salary, 401(k) with company match • Unlimited PTO • Additional health and wellness benefits and perks • Flexible and trusting environment where you’ll feel empowered to do your best work

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