Senior Data Scientist

2 days ago

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EverQuote

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EverQuote’s vision is to become the largest online source of insurance policies by using data, technology and knowledgeable advisors to make insurance simpler, more affordable and personalized$1. .$1

501 - 1000

💰 $15M Post-IPO Equity on 2022-02

Description

• EverQuote is seeking a Data Scientist to join our growing team! • Work with a cross-functional team to convert business problems into scalable solutions. • Establish yourself as a technical leader and a valued team member.

Requirements

• 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.