Data Scientist

Bachelor's degree in a technical field such as mathematics, statistics, computer science, or economics, or equivalent practical experience; a Master's degree or PhD in a relevant field is a plus

2+ years of professional experience as a data scientist developing predictive models, preferably with experience deploying those solutions to production environments

Demonstrated success turning business problems into data problems and developing innovative solutions

Ability to explain results to technical and non-technical teammates, using strong communication and data visualization skills

Demonstrated experience building machine learning models using standard tools such as scikit-learn or R, to drive business improvements

Solid 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, fluency in SQL, and proficiency with Jupyter notebooks

Experience packaging code for deployment and reusability

Enjoy sharing knowledge and mentoring teammates, and communicating designs to technical and non-technical stakeholders

An interest in staying current with data science trends and helping the team expand its tech stack

Comfortable working in an Agile team environment with everyday impact

The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.

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 the specific salary/OTE range for your role during the hiring process.

EverQuote NI is committed to ensuring equal opportunity for all job applicants and employees. We will not discriminate on the grounds of religious belief, political opinion, race, gender (including gender reassignment), sexual orientation, marital or civil partnership status, pregnancy or maternity, age, or disability.

As a registered employer in Northern Ireland, EverQuote NI complies with the Fair Employment and Treatment (Northern Ireland) Order 1998. As part of the application process, you will be asked to complete a fair employment monitoring form; this information is used solely for monitoring purposes and does not form part of the shortlisting or selection decision.

EverQuote NI carries out background checks on all candidates offered a position. A criminal record will not automatically disqualify you from working with EverQuote NI Limited; each case is considered on its individual merits in line with our fair recruitment practices.

We are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you require any reasonable adjustments or accommodations at any stage of the interview process, please let us know and we will work with you to arrange them.

For more information, visit https://investors.everquote.com and follow on LinkedIn .