Senior Data Scientist

About the role

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 instrumental in delivering and deploying artificial intelligence and machine learning models that drive Everquote’s long term success.

Responsibilities

• Work as part of a cross-functional team to convert business problems into scalable solutions using your knowledge of mathematics, statistics, and machine learning.
• Develop and release predictive models to production.
• Establish yourself as a technical leader and a valued team member as our team continues to grow.

Requirements

• 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.
• Thrives in a fast-paced work environment where everyday contributions have a big impact.

Qualifications

• Passionate 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.
• Thrives in a fast-paced work environment where everyday contributions have a big impact.

Skills

• 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.

Benefits

• 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.

Pay

The base salary for this full-time hybrid role is $150,700-$166,000.

Schedule

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