Staff Data Scientist, Analytics

🕒 March 17

🇺🇸 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

• Independently partner with business stakeholders to understand complex operational challenges, build domain context, and frame analytical approaches — without predefined solutions or heavy direction • Perform deep exploratory data analysis across payment operations, chart review workflows, and customer performance metrics to diagnose root causes and identify optimization opportunities • Build and maintain dashboards and reporting infrastructure that give leaders real-time visibility into operational and financial performance • Conduct business reviews including month-to-month bridges, waterfall analyses, and price-volume-mix decompositions to explain performance variance • Use LLMs and AI-assisted tools (e.g., Claude, GPT) for data exploration, pattern identification, and accelerating analytical workflows • Translate ambiguous business questions into structured analytical approaches with clear, actionable recommendations • Work with both models and querying to understand problems — diagnosing first, then standardizing and building scalable solutions • Partner cross-functionally with Product, Data Science, Engineering, and Operations teams to deliver analytics-ready solutions • Build foundational data assets — base data sets, aggregates, and pipelines — required for robust reporting and insight generation

🎯 Requirements

• 4-6 years of experience in business analytics, quantitative consulting, economics, or a related analytical role • Strong proficiency in SQL and Python for data manipulation, analysis, and visualization • Demonstrated ability to independently diagnose complex business problems through exploratory data analysis — comfortable working without predefined solutions • Experience with BI/visualization tools (e.g., Power BI, Tableau, Looker) and building dashboards for business stakeholders • Familiarity with LLMs and AI tools for data analysis — comfortable using AI-assisted workflows to accelerate insight generation and excited to push the boundaries of what's possible • Degree in a quantitative field (e.g., Economics, Statistics, Operations Research, Data Science, Engineering, or related discipline) • Strong communication and storytelling skills — ability to work directly with senior stakeholders and present complex findings clearly to both technical and non-technical audiences • Experience working with large-scale data warehouses (Databricks, Snowflake, BigQuery, or similar) • Consulting mindset: ability to quickly build business context in unfamiliar domains, structure ambiguous problems, and deliver actionable recommendations • Curiosity, growth mindset, and excitement about learning new areas — including healthcare, LLMs, and GenAI • Comfort operating in a fast-paced, ambiguous environment and balancing short-term deliverables with longer-term strategic work

🏖️ 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