Staff Data Scientist, Machinify
Fraud / Billing
+ Equity
AI cost reduction platform for healthcare
Be an early applicant
AI cost reduction platform for healthcare
501-1000 employees
Be an early applicant
+ Equity
501-1000 employees
Company mission
To develop software that helps people get the right medical care, at the right time, at the right price.
Role
Who you are
- Degree in Computer Science, Engineering, or a related field
- 10+ years of data science experience, with at least 5 years in a leadership role, including a leadership role at a start-up. 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 the job involves
- 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
- 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
Our take
Founded in 2016, Machinify's original aims were to help re-tool business operations across industries, transform data into decisions, and enable established enterprises to keep up with the rapidly digitizing space. Nowadays, the company has pivoted to employ its AI expertise specifically in the healthcare industry, where it has already found success with Payers and secured several market-leader customers.
Healthcare is one of many industries where companies have vast pools of data but struggle to make the most of it due to operational restraints. Machinify makes it easier for Payers to implement AI-powered decision-making, applying it to the authorization of treatments, review of medical claims and bills, and diagnosis of underlying conditions.
With intelligent applications seeing broader adoption in the healthcare market, the company will likely see more funding and growth in the coming years. Its acquisitions of companies such as Performant Healthcare will enable it to easily expand its AI-powered operating system, creating an even more robust offering for clients.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Oct 2018
$10m
SERIES A
Mar 2016
$2.8m
SEED
Total funding: $15.6m
Company benefits
- Work from anywhere in the US
- Home office stipend
- Work on big projects that impact millions of lives
- Premium medical, dental & vision benefits
- 401k plan sponsorship
- No-meeting day every week
- Individual Equity and Tax Advisory services
- Flexible PTO
- Home office stipend
- Mentorship from industry leaders
- Annual learning and development stipend
Company HQ
University South, Palo Alto, CA
Leadership
Prasanna Ganesan
(Co-Founder, CTO & Board Member)Previously co-founded VUDU where they served as the CTO and General Manager. They also served as the CTO at Klip before founding Machinify.
David Pierre
(CEO)20 years of experience leading and scaling high-growth healthcare technology companies. Is also CEO at Rawlings, Apixio PI and VARIS.
Salary benchmarks
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