Senior Data Scientist

Lemonade

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: New York, NY
Posted: 18 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $174k

$107k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $135,000–$214,000.

Based on 240 similar postings.

Employer

About Lemonade

Lemonade is an AI-native insurance company offering renters, homeowners, auto, pet, and life insurance through a fully digital platform, using technology to provide instant quotes and fast claims processing. Industry: Insurance Technology

View all roles at Lemonade

At a glance

TL;DR · Senior Data Scientist

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As a Sr. Data Scientist on the Data Science Pricing team, you will work closely with Actuarial and Insurance Product teams to advance pricing models across Home, Renters, Car, and Pet insurance lines in multiple countries. This role involves owning projects end-to-end, which includes scoping specific business problems and managing the full lifecycle through production deployment. You will be responsible for developing and deploying predictive models while establishing technical standards for other data scientists on the team. The core of your work involves solving complex pricing challenges within the insurance domain to push models into new territory. While the role requires high-level technical leadership, it is not a research-only position; you will focus on practical application and deployment. You must possess the skills necessary to translate business needs into functional predictive models for diverse international markets.

What does a Data Scientist earn in New York?

Median $173200 from 35 postings across 15 companies.

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Skills

Data Science Production Deployment

What you'll do

Develop and deploy predictive models for Home, Renters, Car, and Pet insurance lines.
Advance pricing models into new territories across multiple countries.
Own projects end-to-end from initial business problem scoping to production deployment.
Work with Actuarial and Insurance Product teams to integrate data science into pricing.
Set the technical standards for the surrounding data science team.
Translate complex business problems into actionable technical solutions.

What we're looking for

Experience developing and deploying predictive models across multiple product lines.
Ability to manage projects end-to-end from scoping to production deployment.
Ability to set the technical bar for other data scientists on the team.

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