Data Scientist

Job Description

Job Description

Location:  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.

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.

What you'll 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.

Who you are:

• 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
• Keen sense about data science technologies, stay on top of industry trends and actively help the team to expand the tech stack
• Entrepreneurial mindset, want to grow a business, and love working with an Agile team
• Thrive in a fast-paced work environment where everyday contributions have a big impact

 

Education & Experience:

• 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) 
• Proven experience building and delivering ML solutions in a production eng environment preferred 

Technical Skills:

• 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) and experimentation (reinforcement learning and work with generative ML/AI is a plus)

Core Competencies:

• 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

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 $129,900-$152,800.

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 role is not eligible for immigration sponsorship, now or in the future. Candidates must have current, unrestricted work authorization in the United States.

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