4 дня назад
Staff Data Scientist - Payments (Fintech)
195 000 - 257 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Scientist - Payments (Fintech) (SQL/Python): Building foundational datasets, analytical frameworks, and scalable data solutions for payments products with an accent on customer behavior, transaction activity, experimentation, and quantitative methods. Focus on researching onchain payment ecosystems, leading strategic analyses, and influencing product strategy through data-driven insights.
Location: United States of America; remote role
Salary: $195,000–$257,500 base pay per year
Company
builds digital-asset, payment, stablecoin, and programmable blockchain infrastructure for enterprises, financial institutions, and developers.
What you will do
- Design foundational datasets, metrics, and analytical frameworks for the Payments team.
- Analyze customer behavior, product adoption, and transaction activity to improve payment experiences and support business growth.
- Research onchain payment ecosystems, blockchain transaction data, and competitive payment solutions.
- Lead strategic analyses for product innovation, operational efficiency, and revenue growth.
- Build scalable reporting, dashboards, automation, and self-service data solutions using SQL, Python, and business intelligence tools.
- Communicate findings through visualizations and data storytelling while partnering with Product, Engineering, Operations, Business, and senior leadership.
Requirements
- 10+ years of experience in data science, analytics, economics, statistics, or a related quantitative field.
- Advanced SQL proficiency and programming experience in Python or R.
- Expertise in statistical modeling, experimentation, causal inference, and quantitative methods.
- Experience independently leading large-scale analytical and data science initiatives from ambiguous problems to measurable outcomes.
- Ability to influence product strategy and senior stakeholders through data-driven recommendations.
- Experience building scalable data products, analytical frameworks, and self-service capabilities with strong attention to data quality.
Nice to have
- Experience with payments products, payment networks, fintech, or financial services platforms.
- Experience analyzing blockchain datasets, onchain transaction activity, and public ledger data.
Culture & Benefits
- Flexible work environment with an emphasis on visibility and stability.
- Values include high integrity, future forward thinking, multistakeholder collaboration, mindfulness, and driven excellence.
- Inclusive workplace and equal opportunity employment.
- Interview accommodations are available for candidates with disabilities.
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