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EverQuote, a leading AI-powered growth partner, is seeking a Senior Data Scientist in Cambridge, MA. Join a cross-functional team to deliver and deploy AI/ML models driving long-term success in regulated insurance markets.
You will turn business problems into data solutions, lead modeling efforts, and mentor teammates while collaborating to improve products and strategies in a fast-paced environment.
Location: Cambridge, MA / Hybrid (This role requires working in-office 3 days per week: Tuesday, Wednesday, and Thursday.)
EverQuote is a leading AI-powered growth solutions partner for regulated property and casualty insurance entities, enabling the largest insurance carriers and thousands of agents to maximize customer acquisition across digital channels. Fueled by our proprietary data assets and our AI traffic engine, EverQuote is transforming the way providers attract and engage consumers to grow market share. Joining our team puts you at the forefront of this transformation. You will collaborate with a group of builders to solve complex problems and reshape a massive industry. If you want to drive real-world impact and do the best work of your career, you’ve found your home. We move fast, follow the data, and hold ourselves to high standards. If that’s how you work too, this is the role for you.
EverQuote is seeking a Senior Data Scientist to join our growing team! As a member of the Data Science team, you will be instrumental in delivering and deploying artificial intelligence and machine learning models that drive Everquote’s long term success.
The Senior Data Scientist will work as part of a cross-functional team to convert business problems into scalable solutions using your knowledge of mathematics, statistics, and machine learning. You will be joining a team of talented and collaborative data scientists and machine learning engineers eager to grow our business and deliver measurable results. You will establish yourself as a technical leader and a valued team member as our team continues to grow.
The base salary actually offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. The base salary for this full-time hybrid role is $150,700-$166,000 . In addition to base salary, our total compensation package may include participation in variable cash bonus programs, equity, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility which are designated by role. Your recruiter can provide more details about additional compensation components, such as OTE structure, bonus targets, or equity, during the hiring process.
This position is not eligible for employment visa sponsorship, now or in the future. Candidates must be able to work in the U.S. without the need for employer-sponsored visa support.
For more information, visit https://investors.everquote.com and follow on LinkedIn.