Do you want to be part of Boston’s hottest up and coming startup? Insurify is one of the fastest-growing MIT FinTech startups and has been recognized as a global Top 100 InsurTech company. We’re changing the way millions of people compare and buy insurance with artificial intelligence, technology, and superior product design.

Founded in 2013 by Snejina Zacharia (CEO), Todor Kiryazov (CPO) and Giorgos Zacharia, Co-founder and Board Member, Insurify has raised $128 million in venture capital funding from top investors including Viola Group, MTech Capital, Hearst Ventures, Nationwide Ventures and MassMutual Ventures.

Our team is highly analytical, fast-moving, and focused on one thing: getting more people to compare insurance quotes using Insurify.

How you will make an impact

• Reporting to the Director of Analytics, this role will be one of the first on our Customer Acquisition Data Science team
• Partner closely with the Marketing team to assist in the development of more sophisticated bidding and targeting methodologies across Paid Search, Retargeting, and Email campaigns
• Use time-series and ML techniques in order to come up with more efficient bidding strategies
• Build volume elasticity models in order to optimize bid-ups for more customer acquisition
• Develop customer churn models and help optimize when is best to re-target customers with display or email advertisements to bring them back
• Develop custom multi-channel attribution models that will facilitate efficient bidding across multiple channels as we scale
• Develop clustering models in order to identify user profiles that the marketing team can use to effectively advertise against across our channels

What you need to succeed

• Graduate Degree in technical/quantitative disciplines and/or 2-3 years building models that have driven clear ROI; experience with Marketing or Marketing tech is a plus
• Strong skills and experience in Python (numpy, pandas, sklearn, PyMC3, etc) and SQL
• You look at solve the business problem first and foremost, as opposed to first picking a model and trying to fit the problem
• As an early member of a small team, you know that done is better than perfect, and believe in interactive approach to delivering data products
• Strong quantitative and programming skills with a product-driven sensibility
• Quick learning ability and a drive suitable for the startup hustle

Benefits

• Employee stock options
• 401K plan
• Great healthcare plan
• Unlimited vacation and sick time
• Free snacks and beverages every day in office
• Team lunches and outings
• Friendly office culture




We are proud to be an Equal Employment Opportunity and Affirmative Action employer.