Data Scientist

Summary

Join Machinify, a leader in AI-powered healthcare claims software, as a Data Scientist. You will refine and scale machine learning models to improve claims processing accuracy and efficiency for major health plans. This role involves mastering claim audits, advancing models with curated data and new features, optimizing model performance, and refining complex data pipelines. You will also enhance team tools and build expertise in healthcare data, collaborating with clients and internal experts. The position requires extensive experience in ML model development, a focus on results, and strong data handling skills. A passion for healthcare and excellent communication skills are also essential.

Requirements

• Real-World Impact: Extensive experience solving business problems through ML models that drive tangible outcomes
• Team-Driven Innovation: A track record of developing frameworks and tools that elevate team productivity
• Strategic and Detail-Oriented: Able to map out high-level plans without missing the crucial details
• Results-Obsessed: Proven skills in measuring and optimizing the business impact of ML models
• Data Dexterity: Experienced in handling and transforming complex, unstructured data at scale
• Production Ready: You write production-quality code, build resilient pipelines, and have a history of deploying models despite practical hurdles
• Client-Focused Communicator: Proactive and comfortable sharing insights cross-functionally, with a knack for distilling complex data for impactful storytelling

Responsibilities

• Master Claim Audits: Dive into various clinical and coding audits, unpacking the data that drives audit decisions, and understanding past outcomes
• Model Advancement: Curate labeled data, hypothesize new features, and develop ML models that target claims for audit with even greater precision
• Optimize Impact: Measure model performance rigorously, translating outcomes into operational insights and recommendations for our clients
• Tame Complexity: Work with vast, nuanced data pipelines derived from intricate business workflows—often unclean and undefined—to refine them for robust modeling
• Drive Team Success: Enhance data pipelines, modeling infrastructure, and team tools to level up our capabilities and decision-making efficiency
• Grow with Healthcare: 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

Preferred Qualifications

Healthcare Enthusiasm: A deep curiosity for healthcare; prior experience with health plan data is a huge plus