
Data Scientist – Modeling
Machinify
full-time
Posted on:
Location Type: Remote
Location: United States
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Salary
💰 $180,000 - $230,000 per year
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonRML modelingNeural NetsTree-ensemblesdata optimizationdata pipelinesmodel performance measurementfeature engineering
Soft Skills
problem-solvingcommunicationcollaborationclient engagementanalytical thinkingadaptabilitydecision-makinginsight translationteamworkbusiness acumen