
Staff Data Scientist β Payments
Posted Jun 19

Posted Jun 19
This is a fully remote position, open to applicants in California.
β’ Collaborate with the Payments team to create and develop essential datasets, metrics, and analytical frameworks that facilitate product strategy and business decision-making.
β’ Examine customer behavior, product utilization, and transaction activity to produce actionable insights that enhance payment experiences and foster business growth.
β’ Conduct research on onchain payment ecosystems, blockchain transaction data, and competitive payment solutions to guide product development and market positioning.
β’ Spearhead strategic analyses that uncover new opportunities for product innovation, operational efficiency, and revenue enhancement.
β’ Develop scalable reporting, dashboarding, and automation solutions utilizing SQL, Python, and business intelligence tools to amplify organizational effectiveness.
β’ Present analytical findings through engaging visualizations and data storytelling tailored to both technical and non-technical stakeholders, including senior leadership.
β’ Shape product and business strategy by collaborating cross-functionally with Product, Engineering, Operations, and Business leaders to promote data-informed decision-making.
β’ Over 10 years of experience in Data Science, Analytics, Economics, Statistics, or a related quantitative discipline.
β’ Advanced skills in SQL and proficiency in at least one programming language such as Python or R.
β’ Extensive knowledge in statistical modeling, experimentation, causal inference, and quantitative methodologies.
β’ Demonstrated ability to independently lead large-scale analytical and data science projects from unclear problem statements to measurable business results.
β’ Significant experience influencing product strategy, business decisions, and engaging senior stakeholders through data-driven insights.
β’ Proven track record in developing scalable data products, analytical frameworks, and self-service capabilities that enhance organizational leverage.
β’ Exceptional analytical and problem-solving abilities with a keen focus on detail and data quality.
β’ Health insurance
β’ Retirement plans
β’ Paid time off
β’ Flexible work arrangements
β’ Professional development
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