Senior Data Scientist

🏢 Arlo · 📍 New York City · 💼 onsite · ⏰ FullTime
⚡ Direct Talent Broker Referral
Why apply through CandidatesReach?
✔ Tailored Executive Endorsement Letter: Highlight your real strengths and verified background directly to hiring leads.
✔ Your Preferred Screening Terms: Choose between a 1-minute quick phone screen or scheduled email calendar.
✔ $500 Cash Hiring Bonus: Receive $500 direct cash reward after 30 days of active employment.

Position Summary & Responsibilities

Most of what makes American healthcare expensive isn’t medical care. It’s the machinery wrapped around it: middlemen taking a cut, fraud nobody stops, and billing systems designed to fight over payment instead of deliver care. The result is higher premiums, denied claims, surprise bills, and a system patients increasingly experience as adversarial.

Arlo is rebuilding health insurance for small businesses from first principles: making sure as much of every premium dollar as possible goes to care instead of getting absorbed by the system around it. We do that by identifying fraud earlier, steering members toward higher-quality and lower-cost care, automating operational overhead, and eliminating vendors whose business exists mostly to take a cut.

AI is the foundation that makes this work. We use it across underwriting, operations, clinical programs, and member experience to build an insurer that becomes more efficient as the technology improves.

We’re already operating at meaningful scale: profitable, hundreds of millions in premiums, tens of thousands of members covered, and growing quickly through brokers, employers, and partners. Backed by Upfront Ventures, 8VC, and General Catalyst, with a team from Palantir, YC companies, and longtime healthcare operators.

About the role:

Underwriting is at the core of Arlo. Every group we price depends on how accurately we can estimate the risk of the individual members inside, and the quality of the estimate is essential to the sustainability of our business. We’re hiring a Senior Data Scientist to own our underwriting model and continuously deploy measurable improvements to it based on learnings from real-world outcomes. You’ll work with billions of claims across tens of millions of patients to identify what signals in claims history predict future medical cost, how to roll it up to a competitive price for a group, and how to deploy the system at scale. You’ll constantly monitor the lifecycle of predictions, group policies sold, and claims incurred by our tens of thousands of members to gather novel insights that can improve our model and pricing approach.

🎯 Candidate Preparation Guide For Arlo Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Arlo strictly evaluates your expertise in hardware-software integration, smart-home IoT ecosystems, and scalable consumer security products.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Treating hardware and software as completely separate silos.
  • 2. Ignorance of stringent data privacy and security requirements in consumer IoT.
  • 3. Inability to manage supply chain or manufacturing trade-offs.
✨ Recommended Role Alignment Hook:

I design secure, seamless IoT ecosystems that bridge complex hardware constraints with effortless consumer experiences.

🔒 Free Candidate Preparation Access

Unlock Preparation Priorities & Alignment Hook

Sign in below to review role alignment recommendations before submitting your referral.

🤝 Talent Broker Referral · $500 Bonus Included

Apply for Senior Data Scientist

Setup your contact terms & referral note to get recommended directly to the hiring lead at Arlo.

⚡ Continue with Google (Instant Setup)
or with email

Already have an account? Sign in here