Machine Learning & Data Science Engineer (Healthcare)

TL;DR

Machine Learning & Data Science Engineer (Healthcare): Building and integrating predictive models for insurance pricing, risk assessment, and claims forecasting with an accent on data sourcing, feature engineering, and rigorous validation. Focus on deploying models to production via APIs and cloud infrastructure, monitoring performance, and communicating results to stakeholders for direct business impact.

Location: Remote. Must be based in North or South American countries and available to work 9 am - 6 pm EST.

Salary: Competitive compensation, paid in USD.

Company

hirify.global is a tech-enabled insurance and risk-management company transforming how healthcare organizations protect, manage, and grow their operations.

What you will do

• Build and deploy predictive models for insurance pricing, risk assessment, and claims forecasting.
• Source, clean, and engineer features from internal, external, and third-party data.
• Validate models rigorously, including train/test splits, cross-validation, and error analysis.
• Deploy models to production via APIs and cloud infrastructure, monitoring and retraining as needed.
• Communicate model outputs and results to technical and non-technical stakeholders, tying them to business decisions.

Requirements

• Ability to work remotely from North or South American countries and align with a 9 am - 6 pm EST schedule.
• Strong proficiency in Python and the data science/ML ecosystem.
• Experience with applied ML: regression, classification, gradient boosting, time-series, from build to deploy.
• SQL fluency (Postgres, Snowflake, or similar) and comfort with unfamiliar schemas.
• Experience with cloud platforms (AWS preferred: S3, EC2, SageMaker) and Git.
• Proven project ownership, self-management, and comfort with ambiguity.
• Instinct to question own results and clear communication skills.

Nice to have

• Healthcare, insurance, or finance background.
• Underwriting or risk scoring experience.
• Experience with NLP (classical or LLM-based) as a complement to traditional modeling.

Culture & Benefits

• Fully remote team across North & South American countries.
• High-growth environment with direct exposure to leadership.
• Mission-driven company transforming healthcare with cutting-edge technology.
• Dynamic, collaborative, and fast-growing team environment.
• Competitive compensation paid in USD.
• Unlimited PTO.

Hiring process

• Submit application form with CV.
• Zoom screening interview with a Hire5 recruiter.
• Technical Zoom meeting with hirify.global team.
• Optional take-home assignment.
• Offer.