[Remote] Staff Data Scientist | Fraud / Billing
Note: The job is a remote job and is open to candidates in USA. Machinify is a leading healthcare intelligence company focused on delivering value and efficiency to health plans. They are seeking a Staff Data Scientist to lead the development and deployment of machine learning systems for billing error detection and fraud concepts in healthcare payments, collaborating with various stakeholders to ensure impactful outcomes.
Responsibilities
• 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
Skills
• 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
Benefits
• Top Medical/Dental/Vision offerings
• FSA/HSA
• Tuition reimbursement
• 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
Company Overview
• Machinify is a SaaS platform that enables non-technical enterprises to build AI-powered products and processes. It was founded in 2016, and is headquartered in Palo Alto, California, USA, with a workforce of 1001-5000 employees. Its website is http://www.machinify.com.
Company H1B Sponsorship
• Machinify has a track record of offering H1B sponsorships, with 5 in 2026, 12 in 2025, 6 in 2024, 3 in 2023, 3 in 2022, 4 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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Responsibilities
• 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
Skills
• 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
Benefits
• Top Medical/Dental/Vision offerings
• FSA/HSA
• Tuition reimbursement
• 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
Company Overview
• Machinify is a SaaS platform that enables non-technical enterprises to build AI-powered products and processes. It was founded in 2016, and is headquartered in Palo Alto, California, USA, with a workforce of 1001-5000 employees. Its website is http://www.machinify.com.
Company H1B Sponsorship
• Machinify has a track record of offering H1B sponsorships, with 5 in 2026, 12 in 2025, 6 in 2024, 3 in 2023, 3 in 2022, 4 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.
Apply tot his job
Apply To this Job