Data Scientist

EverQuote•Cambridge, MA

7d•$129,900 - $152,800•Hybrid

About The Position

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. 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.

Requirements

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
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
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
Keen sense about data science technologies, stay on top of industry trends
Entrepreneurial mindset, want to grow a business
Thrive in a fast-paced work environment where everyday contributions have a big impact
Internship or equivalent professional experience in Data Science/MLE required.
Languages: Python, SQL (other languages a plus but not required)
ML Operations and comfortability with the model development lifecycle and related technologies (Snowflake/analytics DBs, AWS SageMaker or similar ML Platforms, MLFlow, GitHub, etcetera)
Comfortable working in a production engineering environment
Experience with predictive modeling (classification/regression)
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
Current, unrestricted work authorization in the United States.

Nice To Haves

Master’s degree or PhD in a relevant field preferred.
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
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
Experience with experimentation (reinforcement learning and work with generative ML/AI is a plus)

Responsibilities

Work with a cross-functional team to convert business problems into scalable solutions using your knowledge of mathematics, statistics, and machine learning.
Establish yourself as a technical leader and a valued team member as our team continues to grow.
Contribute to understanding product strategy and roadmap discussions.
Communicate designs to technical and non-technical stakeholders.
Actively help the team to expand the tech stack.
Work with an Agile team.