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The Zebra

Compares auto and home insurance quotes

Senior Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 5 years of experience in a technical data role, including at least 3 years of hands-on experience building machine learning or statistical models.
  • A proven mathematical foundation and knowledge of machine learning and statistical methods, such as regression, classification, clustering, and experimental design.
  • A solid software engineering foundation and strong proficiency in Python and its data ecosystem, including scikit-learn, pandas, or Polars.
  • Comfort owning models in production, including CI/CD, testing, orchestration, monitoring, and retraining.

Responsibilities

  • Build machine learning models to personalize the product and connect users with suitable insurance policies.
  • Work with cross-functional stakeholders to understand business needs and develop machine-learning-based solutions.
  • Analyze product data, design experiments, and drive the collection and integration of new data sources.
  • Write clean, maintainable production code to operationalize models using software engineering best practices.
  • Perform peer code reviews, mentor other data scientists, and drive continuous improvement in the platform and practices.

Desired Qualifications

  • An MS or PhD in a quantitative field is a plus but not required.
  • Experience mentoring junior data scientists.
  • Experience modeling customer or human behavior in a business-to-consumer context.
  • Experience building machine learning for auction, bidding, or real-time allocation systems.
  • Experience designing and interpreting causal measurement, including experiments, quasi-experimental methods, incrementality testing, geo tests, and marketing mix modeling.
  • Experience with reinforcement learning in production, especially contextual bandits, including running exploration policies against live traffic, off-policy evaluation, and delayed reward attribution.
  • Experience building machine learning platforms.

About the Company

The Zebra

Compares auto and home insurance quotes

The Zebra offers a free online platform to compare car and home insurance quotes from over 100 providers in about 90 seconds. Users enter personal details and coverage needs, and the platform presents side-by-side quotes to help them find a good rate. The service earns commissions from insurers when a user selects a rate, keeping the experience free for consumers, with options to buy online or through licensed agents. The Zebra differentiates itself with a large network of providers and a fast, transparent, spam-free experience to help users save money and make informed decisions.

Company size
201-500
Company stage
Late Stage VC
Total funding
$253.6M
Headquarters
Austin, TX
Founded
2012

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