Position Summary:

The company is growing fast, and so is the data science team. The data science team’s primary focus is automating the adjudication of claims. Leveraging natural language processing and machine learning, we are able to auto-adjudicate claims in matter of seconds compared to the industry standard of one week. Expediting the laborious claims process not only allows our customers and partnering veterinary clinics to focus on providing the best care for their pets, but also allows Trupanion to operate at scale as our business grows. This transformative shift in user experience, as well as operational efficiency is critical in achieving the company’s goal of market-wide adoption.

As a data scientist, you will be responsible for making improvements to models currently in production, as well as dreaming up new and interesting projects. Trupanion has a strong culture around making data-driven decisions. All teams collect and maintain clean, structured data. As such, there will be no shortage of opportunity to make a significant and lasting impact across all verticals of the organization.

Key Responsibilities Include:

• Create and take ownership of data science projects from start to finish: conceptualization, data gathering, modeling, analysis, presentation, productionalization, monitoring, and iterating on improvements
• Display an infectious intellectual curiosity while maintaining the rigor of the scientific method
• Foster effective working relationships with key internal business partners across the organization to create an environment of collaboration and knowledge sharing
• Thrive in uncontrolled environments where problem definitions and success criteria can be ambiguous
• Solve problems that no one has ever solved before
• We will rely on you to be a mentor and a leader for our growing team; provide technical guidance to our data scientists and keep us up-to-date on the most appropriate tools and technology available

Qualifications (Please include a cover letter with your application!)

Education, Registration & Certification:

• Possess strong writing, data visualization and communication skills with the ability to describe complex concepts succinctly to non-technical audiences
• Be intimately familiar with statistics and probability
• Flexibility to work independently and closely with the team
• Expertise in Python and SQL
• Experience with deploying machine learning models in the wild
• Degree in a quantitative field preferred
• 2+ years of experience as a data scientist