Senior Data Scientist

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Hiring Philosophy at Coinbase

Coinbase is committed to acquiring talent that aligns with its innovative and mission-driven culture. Regardless of the specific role or team, potential hires are evaluated based on several core criteria. The company places high value on individuals who thrive in a culture that promotes trust, embraces feedback, and continuously seeks to innovate itself. This aligns with Coinbase’s mission-focused approach, which necessitates employees who are passionate about learning and living crypto. As a remote-first company, Coinbase seeks to onboard the best talent from across the globe.

Ready to #LiveCrypto: Candidate Profile

At Coinbase, prospective candidates are expected to exude positive energy and optimism about the future. A relentless drive to learn is crucial, especially in emerging tech domains such as DeFi, NFTs, DAOs, and Web 3.0. Clear and direct communication is a valued trait, making one both an effective communicator and attentive listener. Candidates should welcome candid feedback and view setbacks as opportunities for growth. The dynamic nature of the crypto world requires agility and enthusiasm for varied responsibilities, making flexible adaptability essential. A 'can do' attitude is highly prized, with an emphasis on taking full responsibility for problem-solving to achieve the company’s mission. Moreover, candidates should thrive in team environments and welcome challenges that push them out of their comfort zones.

Data Science at Coinbase

Data Science holds a pivotal role in Coinbase’s product and decision-making processes. Collaborating closely with Product, Engineering, and Design, the Data Science team influences the product roadmap and gains a deeper understanding of user needs. With a robust foundation in experimentation, analytics, and advanced modeling, the team provides insights critical to the company’s success.

Role Responsibilities and Expectations

The role involves conducting in-depth analyses of complex business problems, generating insights and recommendations to guide decision-making. Responsibilities include overseeing data and metrics, from core logging to data visualization presentation. The role also demands active participation in code reviews, offering SQL and Python expertise, and creating well-maintained ETL processes. There's an emphasis on maintaining high statistical standards to ensure thorough experimentation and causal analysis, thereby instilling confidence among stakeholders.



Qualifications and Skills Sought

Ideal candidates will possess a BA/BS in a quantitative field, such as Math, Statistics, Physics, or Computer Science, coupled with a minimum of five years of relevant experience, or a PhD with at least three years of relevant experience. Demonstrated success in driving impactful data science projects within ambiguous problem spaces is essential. The capacity to influence stakeholders through compelling storytelling and data insights is critical. Candidates should have practical experience with complex modeling for business applications, professional proficiency in SQL and Python, and experience working with digital products in iterative development cycles. Adherence to Coinbase’s core cultural values—clear communication, positive energy, continuous learning, and efficient execution—is expected.

Compensation and Equal Opportunity

Coinbase offers a transparent pay structure with target salaries ranging from $175,100 to $206,000 USD, varying by location, inclusive of bonuses, equity, and comprehensive benefits. Committed to fostering diversity, Coinbase ensures equal employment opportunities without discrimination based on various protected categories. The company adheres to applicable laws regarding the employment of individuals with criminal histories and participates in the E-Verify program as required. Additionally, Coinbase is dedicated to providing reasonable accommodations for individuals with disabilities throughout the employment process.



This job offer was originally published on Jobicy

Coinbase

remote

Data science

Full-time

November 23, 2024

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