Head of Data & Machine Learning

Arlo • New York, NY

13d

About The Position

Arlo is rebuilding health insurance for small businesses by focusing on ensuring that a maximum amount of every premium dollar goes directly to care, rather than being absorbed by the administrative system. This is achieved through identifying fraud early, guiding members to higher-quality and lower-cost care options, automating operational overhead, and eliminating unnecessary vendors. Artificial intelligence is the cornerstone of this approach, utilized across underwriting, operations, clinical programs, and member experience to create an increasingly efficient insurer as the technology advances. The company has achieved significant scale, is profitable, handles hundreds of millions in premiums, covers tens of thousands of members, and is experiencing rapid growth through various channels. Arlo is backed by prominent investors and its team comprises individuals from leading technology and healthcare backgrounds.

Requirements

• Designed enterprise wide data architecture and systems that deploy ML models in production.
• Experience injecting data into operational workflows and powering the core of a company’s business.
• Understanding of the importance of a clean data model.
• Proficiency in Python.
• Experience configuring clusters.
• Experience with healthcare data, including medical claims, diagnosis codes, and procedure codes.
• Ability to balance strong engineering standards with business needs.
• Clear communication skills to coordinate with actuarial and other business units, understand requirements, and partner with user teams.

Nice To Haves

• Staying close to the work rather than delegating hard calls away.

Responsibilities

• Own the data pipelines & system end to end: data ingestion, model training & inference, and serving results via API to our quoting frontend and manage the underlying infrastructure.
• Work closely with Sean Chin, Head Actuary, to translate business and actuarial priorities into scoped, executable work for the data team.
• Drive continuous improvement of the underwriting model: monitor for model drift, build evaluation infrastructure, and ensure the system stays accurate as Arlo’s book of business grows.
• Improve iteration speed across the underwriting pipeline so the team can test, adjust, and deploy faster.
• Hold the technical bar across the data function: set engineering standards and establish clear practices for how the team collaborates, documents, and ships.
• Build and maintain Arlo’s core data ontology — integrate data from across the organization into a clean, well-governed layer that can serve use cases including underwriting, care management, care navigation, claims adjudication, etc.
• Ingest data from multiple sources and build the monitoring systems that keep data quality high.
• Directly manage a team of six; serve as technical lead for the data science team — providing code review, architectural guidance, and the standard they build toward.

Benefits

• High ownership: Real responsibility from day one, with empowerment to tackle big problems and shape core company aspects.
• Important mission: Work directly influences how people access care and improves lives at scale.
• Growth & expansion: Opportunities for scope and career growth as the company expands.
• Apply AI to a problem that matters: Use AI to fundamentally reimagine healthcare.
• High pace, high collaboration: Operate with velocity, first-principles thinking, and a team that works closely, openly, and with ambition.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed