Everquote
Data Scientist
Cambridge, Massachusetts, United States · Mid · Internship
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$6,881 more — $136,781 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $136,781 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · Boston-Cambridge-Newton, MA-NH. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- 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.
- We move fast, follow the data, and hold ourselves to high standards.
Responsibilities
- 2+ years of professional experience as a data scientist including experience developing and releasing predictive models to production
- Demonstrated success turning businesses problems into data problems and developing innovative and unexpected solutions
- Passionate about sharing knowledge and mentoring teammates, and communicating designs to technical and non-technical stakeholders
Requirements
- Ability to explain results to technical and non-technical teammates leveraging your communication skills and data visualization
- Advanced knowledge of applied mathematics and statistics and their common applications in online businesses
- Experience with or strong interest in understanding and optimizing online auctions for both bidders and sellers
- Experience with packaging your code for deployment and reusability
Nice to have
- Bachelors degree in a technical field, with an advanced degree in Data Science, Computer Science, Math/Statistics, or a related field strongly preferred
- Internship or equivalent professional experience in Data Science/MLE required.
- At least 2 years of professional experience in Data Science/ML preferred (preferred more strongly for candidates without an advanced degree)
- Master's degree or PhD in a relevant field preferred.
- Bachelor's degree in a technical field such as mathematics, statistics, computer science or economics
Skills
- Comfortable working in a production engineering environment
- Strong fundamentals in modeling and ML, and related technologies
- Strong fundamentals in software development, with an emphasis on coachability
- Strong stakeholder management abilities, with a knack for understanding user needs and aligning them with technical solutions
- Strong product sense and the ability to contribute to understand product strategy and roadmap discussions
- Outstanding communication and interpersonal skills, with the ability to articulate complex technical concepts clearly
- Languages: Python, SQL (other languages a plus but not required)
- Core Competencies:
- Candidates must have current, unrestricted work authorization in the United States.
- For more information, visit https://investors.everquote.com and follow on LinkedIn.
Compensation
- 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.
Benefits
- Work with 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.
- Demonstrated performance in building machine learning models using standard tools, such as scikit-learn or R, to drive business improvements
- Experience with or strong interest in optimization using reinforcement learning and contextual multi-armed bandits
- Entrepreneurial mindset, want to grow a business, and love working with an Agile team
Company info
- 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.
- 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.
- If that's how you work too, this is the role for you.
- EverQuote is seeking a 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.
- Work with 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.
- Who you are:
- Bachelor's degree in a technical field such as mathematics, statistics, computer science or economics; Master's degree or PhD in a relevant field preferred.
- Strong skills in statistical and scientific programming in Python, fluent in SQL, proficient with Jupyter notebooks
- Keen sense about data science technologies, stay on top of industry trends and actively help the team to expand the tech stack
- Thrive in a fast-paced work environment where everyday contributions have a big impact
- Education & Experience:
- Internship or equivalent professional experience in Data Science/MLE required. At least 2 years of professional experience in Data Science/ML preferred (preferred more strongly for candidates without an advanced degree)
- Proven experience building and delivering ML solutions in a production eng environment preferred
Visa & Work Authorization
- This role is not eligible for immigration sponsorship, now or in the future.
This listing is sourced directly from Everquote's careers page and normalized into a canonical job model.