Machinify Logo

Machinify

Staff Data Scientist | Fraud / Billing

Posted Yesterday
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
The Staff Data Scientist will lead the development and deployment of ML and GenAI systems to detect billing errors and fraud in healthcare payments, collaborating with cross-functional teams.
The summary above was generated by AI

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.

We are seeking a Staff Data Scientist. This role will be responsible for leading the build and deployment of classical ML and GenAI systems that generate and validate billing error, audit, and fraud concepts in healthcare payments. You will partner with SMEs and cross-functional stakeholders to deliver production-grade capabilities with clear customer and financial impact.

What you will do:

  • Build and ship classical ML and GenAI pipelines that surface, rank, and explain candidate billing error, audit, and fraud concepts across large-scale healthcare claims data

  • Advance state-of-the-art research in anomaly detection, information retrieval, and weak supervision, turning research into robust production systems

  • Accelerate concept generation and concept validation with SMEs by designing human-in-the-loop workflows that enable high-throughput review with strong precision, recall, and traceability

  • Own end-to-end delivery from problem framing and data strategy to model development, evaluation, deployment, and monitoring, with a focus on reliability and customer outcomes

  • Partner cross-functionally with Product, Data Engineering, Operations, SMEs, and business leaders to prioritize work, unblock execution, and unlock material financial value

  • Help scale the team and platform as Machinify grows aggressively toward resale and IPO readiness

What you bring:

  • Degree in Computer Science, Engineering, or a related field

  • 5+ years of professional data science experience

  • Proven track record of managing data teams and delivering complex, high-impact products from concept to deployment

  • Strong knowledge of data privacy regulations and best practices in data security

  • Exceptional team management abilities, with experience in building and leading high-performing teams

  • Ability to think strategically and execute methodically

  • Ability to drive change and inspire a distributed team

  • Strong problem-solving skills and a data-driven mindset

  • Ability to communicate effectively, collaborating with diverse groups to solve complex problems

  • You embrace challenges with optimism and a balanced, and bring a business-oriented approach to product development

  • You prioritize customer impact, ensuring your work significantly advances our product value

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 our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.

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/

Top Skills

AI
Data Science
Machine Learning

Similar Jobs

An Hour Ago
Easy Apply
Remote
USA
Easy Apply
144K-216K Annually
Senior level
144K-216K Annually
Senior level
Fintech • Social Impact • Software
The Director of Marketing will develop and implement a comprehensive marketing strategy, oversee campaign management, lead the marketing team, and ensure alignment with sales to drive brand awareness and revenue growth.
Top Skills: Google AnalyticsHubspotSalesforce
An Hour Ago
Remote or Hybrid
179K-225K Annually
Mid level
179K-225K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
The Lead Software Engineer will manage diverse tech projects, develop cloud solutions, mentor engineers, and collaborate with product managers to enhance customer experiences.
Top Skills: AWSCSSDockerGoGCPHTMLJavaJavaScriptKubernetesAzurePythonSQLTypescript
An Hour Ago
Remote or Hybrid
138K-158K Annually
Mid level
138K-158K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
In this role, you will investigate employment complaints, provide recommendations to HR partners, resolve issues, and enhance investigative processes.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account