Staff Data Scientist – ML

🕒 May 15

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Machinify

WebsiteLinkedInAll Job Openings

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

• Solve real business problems with data: Own end-to-end data science work, from problem framing and data exploration to modeling, validation, and production impact. • Lead high-impact initiatives: Drive complex efforts such as vendor leakage detection and prevention, delivering measurable revenue or cost improvements. • Innovate on methods and approaches: Go beyond standard analyses by developing new metrics, models, or workflows when existing approaches fall short. • Build and productionize models: Design, build, and support production ML or LLM-powered solutions in collaboration with engineering and product partners. • Work deeply with data: Use SQL fluently to explore large datasets, build reliable data assets, and validate results. • Influence cross-functionally: Partner with Product, Engineering, Finance, and Operations to align on goals, tradeoffs, and execution plans. • Set technical direction (especially at L7): Raise the bar for data science quality, scalability, and impact across the organization through mentorship, design reviews, and technical leadership.

🎯 Requirements

• Proven track record of hands-on data science impact on real-world problems, not just research or dashboards. • Strong proficiency in SQL, with experience working directly on complex, large-scale datasets. • Experience building, shipping, or supporting production ML systems, preferably some exposure to LLM-based products or workflows. • Ability to independently scope ambiguous problems, identify the right data and methods, and drive work to completion. • Strong communication skills, with the ability to explain complex analyses and models to non-technical stakeholders.

🏖️ 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