Senior Data Scientist

Senior Data ScientistLocation: Cambridge, MA / Hybrid (This role requires working in-office 3 days per week: Tuesday, Wednesday, and Thursday.)About us: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.About the role: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.What you’ll do: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.What you bring to the team:4+ years of professional experience as a data scientist including experience developing and releasing predictive models to productionBachelor’s degree in a technical field such as mathematics, statistics, computer science or economics; Master’s degree or PhD in a relevant field preferred.Demonstrated success turning businesses problems into data problems and developing innovative and unexpected solutionsAbility to explain results to technical and non-technical teammates leveraging your communication skills and data visualization Demonstrated performance in building machine learning models using standard tools, such as scikit-learn or R, to drive business improvementsAdvanced knowledge of applied mathematics and statistics and their common applications in online businessesExperience with or strong interest in understanding and optimizing online auctions for both bidders and sellersExperience with or strong interest in optimization using reinforcement learning and contextual multi-armed banditsStrong skills in statistical and scientific programming in Python or R, fluent in SQL, proficient with Jupyter notebooksExperience with packaging your code for deployment and reusabilityPassionate about sharing knowledge and mentoring teammates, and communicating designs to technical and non-technical stakeholdersKeen sense about data science technologies, stay on top of industry trends and actively help the team to expand the tech stackEntrepreneurial mindset, want to grow a business, and love working with an Agile teamThrive in a fast-paced work environment where everyday contributions have a big impactThe 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 and follow on LinkedIn.