---
title: 'Data Scientist | Modeling at Machinify'
canonical: 'https://feeny.ai/job/data-scientist-modeling-machinify-united-states-kenwk7kqdkqm'
type: 'job'
last_seen: '2026-09-09'
---

# Data Scientist | Modeling at Machinify

- **Company:** Machinify
- **Location:** United States
- **Work type:** remote
- **Posted:** 2026-04-04
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/machinifyinc/jobs/4208658009

## Job description

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.

Our team builds machine learning models for some of the largest health plans in the country to identify and audit claims errors from simple errors to outright fraud. Large insurance payers receive tens of millions of claims each year, of which they only are able to audit less than 10%. Our claim selection models help with selecting the right set of claims to audit and recover hundreds of millions of dollars each year reducing wasted medical spend. We have made significant progress already, with models that significantly outperform even selection by human experts but there are still many improvements to be made.

We are looking for a Data Scientist to advance our models further. In addition to building best-in-class models, this person will create technical frameworks and tools to help the team achieve greater scale and improved business outcomes.

What You’ll Do:

- 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.

What You Bring:

- 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

## What We Offer

- 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

The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels and the base salary can range from $180k-$230k+ based on your assessed level. Compensation also includes meaningful equity, healthcare, unlimited PTO, and more.

## Equal Employment Opportunity at Machinify

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/

## About Machinify

## Company Overview

- **One-liner**: Machinify uses artificial intelligence (AI) to improve healthcare payment integrity, reducing costs and ensuring accurate claims processing for health plans.
- **Entity Type**: Private (Acq – Fin stage; investors include New Mountain Capital, Matrix Partners, Battery Ventures, GV)
- **Headquarters**: Palo Alto, California, United States
- **Founded**: 2015 (per CBInsights) or 2016 (per Built In)
- **Founders**: Not publicly available from provided sources

## Core Business

- **Primary industry**: Healthcare IT – Payment Integrity & Analytics
- **Target customers**: B2B, serving health plans (commercial, Medicare, Medicaid) – 85+ customers including 18 of the top 20 health plans
- **Mission/purpose**: “Reshaping healthcare payment through seamless intelligence” – improving performance and affordability for the entire healthcare ecosystem

## Products & Services

- **AI Operating System for Payment Integrity**: A platform that includes foundation models trained on billions of healthcare data points, a unified data layer (claims, medical records, contracts, policies), task‑specific intelligent agents, and feedback loops for continuous improvement.
- **Payment Integrity Solutions**: Products cover the full spectrum of payment integrity interventions (e.g., DRG review, outpatient audit, subrogation, specialty recovery, claims editing). Deployment models include fully insourced, hybrid, or fully managed.

## Market Standing

- **Valuation / Market Cap**: Not disclosed
- **Key Metric**: Total funding $10.68M (latest round: Acq – Fin; investors include New Mountain Capital, Matrix Partners, Battery Ventures, GV, Paycheck Protection Program, and others)
- **Notable Investors/Partners**: New Mountain Capital, Matrix Partners, Battery Ventures, GV (Google Ventures)
- **Growth Signals**:
  - 85+ customers, including 18 of the top 20 health plans
  - Covers 270M member lives across commercial, Medicare, and Medicaid
  - Over $6B in annual cost avoidance and recoveries realized
  - Currently posting ~48 open roles on Greenhouse (as of search date)

## Competitive Advantages

- **AI‑native platform** trained on billions of healthcare data points, combining foundation models, unified data, and task‑specific agents for high‑precision results
- **Deep domain expertise** – the team brings 40+ years of combined experience in healthcare payment accuracy
- **Flexible deployment** (insourced, hybrid, fully managed) adapts to customer strategy
- **Proven scale** (270M member lives, top health plans) demonstrates trust and effectiveness

## Strategic Focus

- **Expanding payment integrity interventions** across the full care continuum (commercial, Medicare, Medicaid)
- **Continuous improvement** through human‑in‑the‑loop feedback loops
- **Investing in AI safety and transparency** while scaling platform capabilities

## Why Work Here

- **Culture**: Values-driven (Think Big, Be Humble, Deliver Results, Ask Why, Optimize for Customer Impact); transparent, collaborative environment
- **Work model**: Fully remote roles available (US‑based), with some roles requiring onsite presence in Palo Alto, La Grange (KY), or Hendersonville (TN). Hybrid schedules are also supported.
- **Technology stack**: Rust, machine learning, large language models, data engineering, cloud processing
- **Career opportunities**: Open positions across Engineering (Rust, Frontend, Backend, Fullstack, Platform), Data Science (NLP, Modeling, Agentic Systems), Product Management, Operations, Clinical & Coding Auditors, and more
- **Perks**: Mission‑driven work with direct impact on healthcare affordability; strong emphasis on accountability and trust

> **Note**: Machinify warns of active hiring scams – legitimate communications always come from official company email addresses and never require payment.

## Sources

1. [machinify.com](https://www.machinify.com/) – Company overview, products, mission
2. [machinify.com/careers](https://www.machinify.com/careers/) – Culture, values, work model
3. [job‑boards.greenhouse.io/machinifyinc](http://job‑boards.greenhouse.io/machinifyinc) – Current job listings (48 roles)
4. [cbinsights.com](https://www.cbinsights.com/company/machinify) – Funding, stage, investors, headquarters, founding year
5. [builtin.com](https://builtin.com/company/machinify) – Office locations, employee count (96), remote/hybrid policy, technology stack

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