Machinify

5 months ago

Staff Data Scientist | NLP

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead the end-to-end development and deployment of classical ML and GenAI systems to surface and validate billing error, audit, and fraud concepts in healthcare payments. Partner with SMEs and cross-functional teams to deliver production-grade capabilities with measurable customer and financial impact, scale the platform, and drive resale/IP readiness.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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

Pay and Benefits

Salary: USD 180,000 - 230,000 annually

Equity and Bonus:Equity

Perks:MedicalDentalVision401kEquityPaid Leave

Key Requirements

•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

Experience:5+ yearsHealthcareHealthcare paymentsData science

Education:Bachelor's

Skills:Data privacyCommunicationLeadershipProblem-solvingTeam management

Languages:English

Tech Stack:GenAIMachine learningAnomaly detectionInformation retrievalWeak supervisionData privacy

Company Brief

Machinify

Provides AI-driven predictive maintenance and asset-monitoring solutions for manufacturing and industrial operations, using IoT sensor data and machine learning to reduce downtime, optimize performance, and extend equipment life.

Industry: Industrial Automation

Website

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Machinify

5 months ago

Staff Data Scientist | NLP

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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

Pay and Benefits

Salary: USD 180,000 - 230,000 annually

Equity and Bonus:Equity

Perks:MedicalDentalVision401kEquityPaid Leave

Key Requirements

•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

Experience:5+ yearsHealthcareHealthcare paymentsData science

Education:Bachelor's

Skills:Data privacyCommunicationLeadershipProblem-solvingTeam management

Languages:English

Tech Stack:GenAIMachine learningAnomaly detectionInformation retrievalWeak supervisionData privacy

Company Brief

Machinify

Industry: Industrial Automation

Website