Description:
Coinbase is seeking a dynamic and visionary Data Science Manager to lead a high-performing analytics and data science team focused on transforming the customer experience (CX) through advanced data-driven strategies. As part of the world’s leading crypto platform, you will drive innovation at the intersection of data, machine learning, and blockchain technology — redefining how Coinbase delivers customer support and user satisfaction on a global scale.
This role is ideal for a results-oriented data science leader who thrives on solving complex challenges, scaling data systems, and building intelligent models that directly influence operational excellence. The position requires a blend of technical expertise, leadership acumen, and a passion for crypto’s mission of increasing global economic freedom.
Lead, mentor, and expand a world-class data science team, fostering a culture of excellence, innovation, and continuous learning.
Partner cross-functionally with Product, Engineering, CX Operations, and Automation teams to identify, quantify, and reduce friction points in the customer journey.
Develop and own key business metrics for customer support optimization, enabling measurable improvement in satisfaction and efficiency.
Build and maintain real-time prediction systems to identify and prevent negative customer experiences before they occur.
Establish and standardize experimentation frameworks to evaluate automation strategies, self-service tools, and operational performance.
Implement anomaly detection systems and escalation pathways to maintain service quality and prevent performance degradation.
Translate complex quantitative analyses into clear, actionable insights for senior leadership and executive teams.
Champion data-driven decision-making across teams, setting benchmarks for accountability, reporting, and strategic prioritization.
Drive organizational initiatives to scale analytics infrastructure, improving automation, governance, and reproducibility.
Promote and ensure compliance with all company data privacy and ethical AI standards.
Bachelor’s degree in Business, Computer Science, Statistics, Applied Mathematics, or a related field (Master’s or Ph.D. preferred).
8+ years of professional experience in data science, analytics, or applied statistics roles, including 3+ years managing technical teams.
Proven success designing and executing measurement frameworks that drive business impact.
Strong technical expertise in machine learning, experimentation, statistical modeling, and causal inference.
Demonstrated ability to implement real-time analytics systems, anomaly detection, and predictive modeling solutions.
Excellent communication and storytelling skills, with the ability to influence senior stakeholders.
Proven ability to navigate ambiguity and establish structure in complex, multi-stakeholder environments.
Experience with LLM or NLP-based models, predictive analytics, and event logging systems is highly desirable.
Passion for crypto, blockchain, and financial innovation, with a commitment to Coinbase’s mission of expanding global economic freedom.
Strategic and analytical mindset with strong problem-solving skills.
Collaborative leadership style with a focus on mentorship and team development.
Deep understanding of product-driven analytics and customer lifecycle optimization.
Entrepreneurial spirit with the ability to operate effectively in a fast-paced, high-growth environment.
Annual Salary: $243865 – $286900
Monthly Salary Equivalent: $20322 – $23908
Additional Compensation:
Annual Bonus Eligibility
Equity Participation
Comprehensive Health, Dental, and Vision Insurance
401(k) Retirement Plan
Paid Time Off and Wellness Benefits
Remote Work Flexibility with In-Person Team Offsites
Opportunities for Professional Growth and Leadership Development
| Organization | Coinbase |
| Industry | IT / Telecom / Software Jobs |
| Occupational Category | Data Science Manager |
| Job Location | New York,USA |
| Shift Type | Morning |
| Job Type | Full Time |
| Gender | No Preference |
| Career Level | Experienced Professional |
| Experience | 8 Years |
| Posted at | 2025-10-31 4:13 pm |
| Expires on | 2025-12-15 |