Data Scientist (C.P) #171

  • Data Science
  • Full Time
  • Remote
  • This position has been filled


Python, API design, RESTful APIs, Factor Analysis, Cluster Analysis, CART, MARS, Neural Networks

This company is a management liability insurance platform for the 21st-century workplace. They offer products and services to help companies align the risks and incentives of creating great organizations. Their platform is designed to measure risk more efficiently using the most advanced rating system in the industry, while also proactively mitigating the risks of their insureds. Ultimately, they provide businesses with the framework to be the best versions of themselves. That’s where you come in!

As a Data Scientist, you will balance being a prolific individual contributor to their pipelines, tables, and models while steering the development of their products and services through the development, maintenance, and application of data. You will help bridge the gap between Engineering & Business with insights while driving the development of their data services. In addition, you will help to set the culture, rituals, and processes that underpin a high-functioning team and the organization more broadly.


  • Collaborate with insurance domain experts and engineering team members to predict insurance claims based on hundreds of different variables using sophisticated data science techniques.

  • Support the integration and production of new data sources in a manner that minimizes development cycles while maximizing potential business applications.

  • Continuously challenge how the team can improve their underwriting while reducing the number of questions that need to be answered in an application.

  • Maintain a clean production environment such that the data models can be easily interpreted and built upon by other data science and engineering team members.

  • Present your work, findings, and opinions to both technical and non-technical stakeholders.

  • Lay the foundation of the data scientist team to accelerate their learning and elevate their product offerings.

  • Support data visualization and find insights into performance across the entire organization


  • Bachelor/Master in a quantitative discipline (computer science, actuarial science, mathematics, statistics, economics, physics, engineering, or related field).

  • A flare simplifying real-world problems through the application of a range of data scientist techniques (e.g. Factor Analysis, Cluster Analysis, CART, MARS, Neural Networks).

  • A passion for solving challenging mathematical problems and an interest in exploring new machine-learning tools and technologies.

  • An excellent understanding of API design, and experience designing reliable RESTful APIs.

  • 5+ years experience with Python.

  • Communication skills for translating technical or statistical analysis results into business recommendations.

  • Familiarity with the tradeoffs of scaling data infrastructure and database systems.

  • Bias to practical action and creativity using data (they value past or present projects that support this).

  • Interest/experience in behavioral economics and “nudging”

  • Bonus points for experience in the insurance industry

They are committed to being a welcoming and inclusive workplace for everyone, and they are intentional about making sure people feel respected, supported, and connected at work—regardless of who you are or where you come from. They value and celebrate their differences and they believe being open about who they are allows them to do the best work of their lives.

They are an Equal Opportunity Employer. They do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation.

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