About Us

On the off chance you've thought about insurance, it's likely because you've insured something you love, not because you loved your insurance company. Metromile is out to change that. As an insurtech powered by data science and customer centric-design, we’re building a community of drivers who come for the savings and stay for the experience.

With technology at its core, Metromile is reimagining insurance to make it fairer and actually delightful. We’re obsessed with savings, service, and features -- street sweeping alerts, monthly mileage summaries, fuel trackers and more -- that engage a customer all along their journey. We’re on the forefront of disrupting a $250 billion auto insurance category that has gone unchanged for over 80 years. 

Metromile’s diverse team combines the best of Silicon Valley technologists with veterans from Fortune 500 insurers and financial services giants. This management structure ensures that the business is focused on growth, customer experience and technology innovation while also balancing unit economics and profitability. The team is growing quickly across its San Francisco, Tempe, and Boston offices. Our customer service, claims, and sales teams are all based in-house in the US. 

Named a Glassdoor Best Place to Work two years in a row, our CEO consistently has a 95+ percent approval rating; nearly 90% say they’d recommend Metromile to a friend.

About the role

Metromile is seeking an exceptional Marketing Data Scientist to work with partners from across our company to support and grow our business. As a Marketing Data Scientist, you will build models that process data from a variety of sources to power our marketing initiatives across multiple channels such as mail, TV, paid search, and display advertising. Your models will help drive the company’s mission toward growth and high-quality customer acquisition, and you’ll have the opportunity to provide meaningful contributions that will impact the company as a whole.

If you are excited by the opportunity to explore diverse data sources and work on impactful projects in a collaborative and challenging environment then we’d love to hear from you.

You will

• Work closely with Marketing stakeholders and help guide them on data-driven decisions and modeling opportunities.
• Build multi-touch attribution and media mix models and distill the results to a non-technical audience.
• Develop algorithms to optimize spend for online marketing campaigns across paid search, display advertising, and social media.
• Build response and uplift models for targeting high-quality customers in mail campaigns.
• Build policy lifetime expectancy and customer lifetime value models.
• Own end-to-end data science projects from the exploration phase to implementation in production.
• Work with a diverse team of M.S. and Ph.D. level data scientists who enjoy technical discussions and learning new methodologies.
• Use your models to influence decisions across the business and gain support from executive leadership.

About you

• 5+ years experience using machine learning and statistical modeling to solve marketing problems.
• Building and deploying models in production with tangible impact.
• Advanced degree in a math-based discipline, PhD in computer science or statistics preferred.
• Proficiency with SQL for writing efficient queries on large datasets.
• Proficiency with Python and/or R for statistical and numerical modeling.
• Strong oral and written communication skills, and ability to collaborate with cross-functional partners to build the business.

Bonus points:

• Your prior experience was within the fintech, insurtech, or autonomous vehicle space.

What’s in it for you

• Competitive salary plus equity
• Robust benefit options (health, dental, vision, 401K)
• Transportation and gym benefits
• Catered lunches and a fully stocked kitchen
• In office happy hours
• Monthly social events (Trivia nights, skeeball, ropes course, etc)
• Generous parental leave
• Mac equipment and adjustable workstations

Metromile is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.