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Senior Data Scientist

E

Location
United States
EverQuote

Job Description

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. This role is a hybrid role 2 days in office in our Cambridge, MA office.

Who you are:

  • 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
  • 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
  • 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.

We get it. Requirements can sometimes hold people back from applying to a job, but don’t let that be the case here. If you believe you have the skills it takes to elevate this role, team, and company, we encourage you to apply for this role.

About Us:

EverQuote (Nasdaq: EVER) operates the largest online marketplace for insurance shopping in the United States. We make insurance shopping easy, efficient and personal, saving consumers and providers time and money. Our goal is to reshape the way consumers shop and improve the way insurance providers attract and connect with customers as insurance shopping continues to shift online.

EverQuote is committed to building an equitable, diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, marital status, national origin, genetics, disability, age, or veteran status.

Advice from our career coach

In applying for the Data Scientist position at EverQuote, it is essential to showcase your expertise in data science and machine learning while also emphasizing your ability to problem-solve and drive business results. Here are some key tips to help you stand out as an applicant:

  • Highlight your experience in developing and releasing predictive models to production.
  • Showcase your success in translating business problems into data problems and developing innovative solutions.
  • Emphasize your strong communication skills and ability to explain complex results to both technical and non-technical team members.
  • Demonstrate your proficiency in building machine learning models using tools like scikit-learn and R.
  • Illustrate your expertise in applied mathematics and statistics, particularly in the context of online businesses.
  • Discuss any experience or interest you have in online auctions, reinforcement learning, and contextual multi-armed bandits.
  • Showcase your programming skills in Python or R, as well as your proficiency in SQL and Jupyter notebooks.
  • Highlight any experience you have in packaging code for deployment and reusability.
  • Express your passion for sharing knowledge and mentoring teammates, as well as staying updated on industry trends.
  • Emphasize your ability to work in a fast-paced environment and make impactful contributions to a growing team.
  • While not required, having a Master's degree or PhD in a relevant field is preferred.

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About the job

Sep 18, 2024

Full-time

  1. US United States

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