Data Scientist
at Everquote
Cambridge, MA / Hybrid, hybrid, mid, full time, USD 1,29,900–1,52,800 / year, 2+ years
posted 30 Sept 2026
- R
- Generative AI
- Jupyter notebooks
- scikit-learn
- AWS SageMaker
- GitHub
- Snowflake
- Reinforcement learning
- MLFlow
- Python
- SQL
About the role
Posted: 2026-09-30
(This role requires working in-office 3 days per week: Tuesday, Wednesday, and Thursday.)
What you would do
- 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.
What they are looking for
- 2+ years of professional experience as a data scientist including experience developing and releasing predictive models to production
- 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.
- Demonstrated success turning businesses problems into data problems and developing innovative and unexpected solutions
- Ability 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 improvements
- 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 or strong interest in optimization using reinforcement learning and contextual multi-armed bandits
- Strong skills in statistical and scientific programming in Python, fluent in SQL, proficient with Jupyter notebooks
- Experience with packaging your code for deployment and reusability
- Passionate about sharing knowledge and mentoring teammates, and communicating designs to technical and non-technical stakeholders
Read from job-boards.greenhouse.io, last seen 5d ago.