Data Scientist: Personal Auto Telematics at American Family Insurance

Remote | High-paying
American Family Insurance

Title: Data Scientist: Personal Auto Telematics (Remote)

  • Full Time
  • C: 6.06

At American Family Insurance, we believe people are an organization’s most valuable asset, and their ideas and experiences matter. From our CEO to our agency force, we’re committed to growing a diverse and inclusive culture that empowers innovation that will inspire, protect, and restore our customers’ dreams in ways never imagined.
American Family Insurance is driven by our customers and employees. That’s why we provide more than just a job – we provide opportunity. Whether you’re already part of our team in search of a new challenge or new to our company and ready for what’s next, you’re in the right place. Every dream is a journey that starts with a single step. Start your journey right here. Join our team. Bring your dreams.

Job ID:

  • R21985 Data Scientist: Personal Auto Telematics (Remote) (Open)
  • Compensation may vary based on the job level and your geographic work location.
  • Compensation Minimum:$101,500
  • Compensation Maximum:$162,500


Develops, analyzes and models operational, economic, management, accounting and other organizational data to quantify the competitive performance of business segments, evaluate potential operational changes, and design new approaches and methodologies. Analyzes organizational data to recommend solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organization’s operations and/or markets; models and evaluates the potential impact of changes. Applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources.

Job Description:

American Family Insurance Auto Center of Excellence (CoE) Predictive Analytics team is looking for an experienced data scientist to help build out our next generation of insurance product using Telematics data. Powered by data and algorithms, we hope to build a platform that captures people’s driving behavior when behind the wheel and provide positive user experience.

You must carry creative mindset and stay highly innovative by developing useful features from telematics “Big Data”, including but not limited to hard braking, rapid acceleration, distraction, night- time driving, and so on. You will collaborate closely with both business teams (product, state management) and the Data Engineering teams to build modeling pipeline, iteratively enhance model performance, and share out results to stakeholders.


  • Perform data mining towards telematics data collected from GPS, accelerometers, and other sensors to understand what’s available and what are the best data use cases
  • Propose appropriate model structure and come up with creative ways of deriving driving behavior metrics along with contextual and other supplemental data to predict insurance losses
  • Write clean and production ready code that can be easily maintained and leveraged by engineering and IT teams
  • Build and test models and investigate areas for future improvement with minimal guidance
  • Participate in Team’s Agile ceremonies (sprint planning, retrospective, demo)
  • Present model findings to audience with different levels of technical background
  • Translate business needs into viable analytical solutions
  • Collaborate with IT to bring models into production
  • Keep abreast of latest relevant technologies and propose new ones to the team

Travel Requirements

  • This position requires travel up to 10% of the time.

Specialized Knowledge and Skills Requirements

  • Comfortable working in a fast-paced environment
  • Superb knowledge with Python or R development in GCP or AWS environment
  • Strong familiarity of GitHub, Docker, re-usable model functions
  • Solid understanding of data science methods (both statistical and machine learning models)
  • Self-motivated, eager to learn, problem-solver and can carry different hats when collaborating with a wide range of business functions (IT, Actuarial, Product, etc.)
  • Education in Statistics, Computer Science, Economics, Mathematics, Actuarial Science, Electrical Engineering, and other quantitative disciplines
  • PhD or master’s with at least 2 years of experience or Bachelors with at least 4 years of experience
  • Prior experience in at least one area:
  • Insurance Product / Pricing
  • Geospatial analysis
  • Telematics
  • We understand that candidates who meet all the requirements above do not always exist. If you meet some of them, please do apply.

Education and Licenses

  • PhD or master’s with at least 2 years of experience or Bachelors with at least 4 years of experience

Additional Job Information:

  • Depending on qualifications, candidates may be considered at different levels.
  • Offer to selected candidate will be made contingent on the results of applicable background checks.
  • Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions.
  • We are open to hiring candidates to work remotely (anywhere in the USA).

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