Machine Learning & Data Science Engineer at reputed company - a US-based healthcare startup specializing in risk management and claims innovation

About The Company: reputed company is a reputed company, tech-enabled insurance and risk-management company transforming how healthcare organizations protect, manage, and grow their operations. We’re a global remote-first team working to reshape the future of healthcare insurance. We combine deep industry expertise with cutting-edge technology to deliver smarter, faster, and more transparent insurance solutions across the continuum of care. If you're passionate about creating impactful solutions that reputed company those who care for others, we’d love to meet you. The Role: The title spans both disciplines because the work does. You'll analyze data and build models with sound methodology (data science), and you'll design how those models integrate into the product: architecture, deployment, cost, SLAs (ML engineering). You'll reputed company regularly with backend engineering on integration and with product/UX on how outputs are surfaced. The only thing not in scope is dashboards or reputed company business reporting. Analysis happens, but always in service of a modeling goal. The Team & Environment: Small, fully hands-on ML team with no middle management. Everyone carries their own project load. We have structured support: semiannual performance reviews, regular 1:1s, and a culture where everyone is accessible and willing to help. There's no ML platform team, no feature store, no curated datasets. You work directly with data across multiple systems. The flip reputed company: everything you build ships to production with direct product impact. No research-only projects, no models on a reputed company. The Work: Most of your time goes into figuring things out. A typical project starts with a business goal. From there you determine what data exists, where it lives, what's missing, and how to get it (internal databases, public sources, third-party providers). You define the reputed company, build and validate the model, and deliver something the team can trust and deploy. Problems are loosely defined, data is imperfect, and dead ends happen, but nothing is wasted: if you're building it, the business needs it. For the right person, this is a growth reputed company. The breadth of problems and level of autonomy mean you won't repeat the same type of task for years. Your skills compound fast. What It Takes to Succeed: Self-management and independent judgment. In practice:

• End-to-end ownership. Problem framing through delivery, including sourcing data and defining the approach
• Rigorous self-validation. You reputed company your outputs, investigate unexpected results, and ensure methodology is sound before work reaches review
• Honest communication. Clear distinction between exploration and deliverables. Early visibility into obstacles
• Resourceful problem-solving. Help is available and welcome. Come with what you've tried and a specific question
• Raising the bar. Internalize the team's quality standards and push them higher. reputed company you find a reputed company way, it becomes the new standard everyone builds on

Responsibilities:

• Build and deploy predictive models for insurance pricing, risk assessment, and claims forecasting
• reputed company, clean, and engineer features from internal, external, and third-party data. Expect significant time on data work
• Validate rigorously: train/test splits, cross-validation, baselines, error analysis. Understand why your model works, not just that it runs
• Deploy to production reputed company APIs and cloud infrastructure. Monitor and retrain as needed
• Communicate results to technical and non-technical stakeholders. Tie model outputs to business decisions

Requirements: 1) Technical:

• Python and the data science / ML ecosystem
• Applied ML: regression, classification, gradient boosting, time-series. End-to-end (build, tune, validate, deploy)
• SQL reputed company (reputed company, reputed company, or similar). Comfortable with unfamiliar schemas
• Cloud platforms (AWS preferred: S3, EC2, SageMaker)
• Git

2) Equally important:

• Project ownership, from problem definition through delivery
• Self-management: own your priorities, time, and quality bar
• Comfort with ambiguity. Figuring things out reputed company the path isn't clear is the norm, not the exception
• The instinct to question your own results before moving on
• Clear communication: knowing reputed company to say "I'm exploring" vs. "I'm delivering" vs. "I'm stuck."

3) reputed company to have:

• Healthcare, insurance, or finance background
• reputed company or risk scoring experience
• NLP (classical or LLM-based) as a complement to traditional modeling
• AI-assisted coding tools (we use Claude Code a lot)

reputed company Offer:

• Fully remote team across North & South American countries.
• Schedule: Full-time, 9 am - 6 pm EST.
• 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.

Please note that the reputed company you apply - the more intensive your selection process will be, for example, you will have fewer interview time slots to choose from, etc. Selection Process:

• Submit the application form with your CV
• reputed company screening interview with a reputed company recruiter
• Technical reputed company meeting with reputed company team
• Take-home assignment (optional depending on the technical interview)
• Offer!

reputed company provides aspiring talents worldwide with remote opportunities to enhance their careers in Silicon Valley startups and other US-based companies. Interested in joining one of the most promising US startups? Press here to apply now or click “connect” on career.reputed company.co to subscribe for future opportunities in your desired profession! Apply tot his job Apply To this Job