EverQuote, Inc.

Senior Data Scientist

EverQuote, Inc.$150K — $166K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of professional experience as a data scientist with predictive model development.
  • Bachelor's degree in mathematics, statistics, computer science or economics; Master’s or PhD preferred.
  • Proven track record in translating business challenges into data-driven solutions.
  • Excellent communication and data visualization skills for technical and non-technical audiences.
  • Strong experience with machine learning tools like scikit-learn or R.

Responsibilities

  • Collaborate with cross-functional teams to transform business problems into scalable data solutions.
  • Lead the development and deployment of AI and machine learning models.
  • Communicate insights and results effectively to diverse stakeholders.
  • Mentor junior team members and share knowledge on data science practices.
  • Stay abreast of industry trends and contribute to tech stack enhancements.

Benefits

  • Comprehensive health, welfare, and wellbeing benefits based on eligibility.
  • Participation in variable cash bonus programs and equity options.
  • Flexible work environment with a hybrid model: 3 days in-office per week.
Full Job Description
Senior Data Scientist

Location: Cambridge, MA / Hybrid

(This role requires working in-office 3 days per week: Tuesday, Wednesday, and Thursday.)

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 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 or R, 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

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 $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 https://investors.everquote.com and follow on LinkedIn.

About EverQuote, Inc.

EverQuote, Inc. is an online insurance marketplace that connects consumers with insurance providers. The company's proprietary technology platform aggregates and analyzes data from a variety of sources to provide consumers with personalized insurance quotes. EverQuote's marketplace offers auto, home, and life insurance products from over 100 insurance carriers. The company generates revenue by charging insurance carriers for each consumer lead generated through its platform. EverQuote was founded in 2011 and is headquartered in Cambridge, Massachusetts.
Learn more about EverQuote, Inc.
Size
671 employees
Market Cap
$456.9 million
Industry
Net Income
-$11.2 million
Founded
2010
5 Year Trend
+27.8%
Revenue
$346.9 million
NASDAQ

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