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Data Scientist - Remote

Posted 13 hours ago
Data Analysis
Full Time
Worldwide
$160,000 - $170,000/year

Overview

As a Data Scientist at Attune, you’ll work closely with stakeholders across Actuarial, Underwriting, Claims, Product, Revenue, and Customer Experience to develop predictive models and improve data infrastructure.

In Short

  • Work with various teams to leverage data for better decision-making.
  • Analyze customer and broker behavior to enhance engagement.
  • Investigate business problems through rigorous data exploration.
  • Develop predictive models for pricing and underwriting.
  • Explore new datasets to improve model performance.
  • Integrate models into tools and workflows.
  • Optimize internal data infrastructure and reporting.
  • Support ad-hoc data requests.
  • Contribute to a remote-first culture.
  • Receive a competitive salary with bonus opportunities.

Requirements

  • Experience in data science or analytics.
  • Hands-on experience with predictive modeling techniques.
  • Proficiency in Python and SQL.
  • Familiarity with advanced statistical modeling is a plus.
  • Excited to solve real problems using data.
  • Bonus: Knowledge of P&C insurance data.

Benefits

  • Flexible PTO.
  • Generous parental and caregiver leave.
  • 401K match.
  • Excellent medical, dental, and vision plans.
  • Annual tuition reimbursement stipend.
  • Remote-first culture.

Attune

Attune

Attune is revolutionizing the insurance industry by simplifying the process for small businesses to access essential coverage. By leveraging data and technology, Attune streamlines the traditionally cumbersome insurance application process, enabling faster and more reliable policy issuance. The company is committed to enhancing user experience for brokers and ensuring transparency in insurance offerings. With a focus on innovation, accuracy, and speed, Attune is on a mission to transform the future of insurance while fostering a diverse and motivated team dedicated to making a significant impact in the industry.

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