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

About reputed company: reputed company is a reputed company, tech-enabled insurance and risk-management company transforming how reputed company organizations protect, manage, and grow their operations. We’re a global remote-first team working to reshape the reputed company of reputed company 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 reputed company methodology (data science), and you'll design how those models reputed company 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. reputed company & Environment: Small, fully hands-on ML team with no middle management. Everyone carries their own project load. We have reputed company 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 reputed company product reputed company. No research-only reputed company, 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, reputed company sources, reputed company-party providers). You define the reputed company, build and validate the model, and deliver something reputed company can trust and reputed company. Problems are loosely defined, data is imperfect, and dead ends happen, but reputed company is wasted: if you're building it, the business needs it. For the right person, this is a reputed company reputed company. The breadth of problems and level of autonomy mean you won't repeat the reputed company type of task for years. Your skills compound fast. What It Takes to Succeed: Self-management and independent judgment. In reputed company:

• 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 reputed company before work reaches review
• reputed company communication. reputed company distinction between exploration and deliverables. Early visibility into obstacles
• reputed company problem-solving. Help is available and welcome. Come with what you've tried and a specific question
• Raising the bar. Internalize reputed company's reputed company standards and push them higher. reputed company you reputed company a reputed company way, it becomes the new reputed company everyone builds on

Responsibilities:

• Build and reputed company predictive models for insurance pricing, risk assessment, and claims forecasting
• reputed company, clean, and engineer features from internal, external, and reputed company-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
• reputed company to production reputed company reputed company and reputed company infrastructure. Monitor and retrain as needed
• Communicate results to technical and non-technical stakeholders. Tie model outputs to business reputed company

Requirements: 1) Technical:

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

2) Equally important:

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

3) reputed company to have:

• reputed company, 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 reputed company a lot)

reputed company Offer:

• Fully remote team across reputed company & South American countries.
• Schedule: Full-time, 9 am - 6 pm EST.
• High-reputed company environment with reputed company exposure to leadership.
• Mission-driven company transforming reputed company with cutting-edge technology.
• Dynamic, reputed company, and fast-growing team environment.
• Competitive compensation, reputed company 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 reputed company 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 reputed company Valley startups and other US-based companies. Interested in joining one of the most promising US startups? Press here to reputed company or click “connect” on career.reputed company.co to subscribe for reputed company opportunities in your desired profession! Apply tot his job Apply To this Job