1 день назад
Data Scientist (AI/Payments)
111 700 - 167 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI/Payments): Building scalable data tools, ETL pipelines, dashboards, machine learning models, and cloud data systems for Square and Cash App payments with an accent on payment performance, cost efficiency, risk mitigation, and AI-driven automation. Focus on designing experiments, translating open-ended business needs into data solutions, and maintaining data infrastructure for large-scale payments operations.
Location: Remote, Bay Area, California, United States
Salary: $95,000–$142,400, $100,500–$150,700, $106,100–$159,100, or $111,700–$167,500 USD annually, depending on the U.S. market zone.
Company
builds technology and financial services products through Square, Cash App, Afterpay, TIDAL, Bitkey, and Proto.
What you will do
- Build scalable AI-powered data tools, agents, automations, ETL pipelines, dashboards, and machine learning models.
- Partner with Product, Engineering, Finance, and Operations to support data-driven decisions.
- Measure and optimize payment platform success rates, cost efficiency, performance, and risk.
- Design, run, and analyze experiments and independently research business questions.
- Design, implement, maintain, and improve data systems, cloud infrastructure, and tooling.
- Translate open-ended business needs into practical data solutions and operationalize data processes.
Requirements
- Bachelor’s degree in a quantitative field with a strong academic record.
- Internship experience working with code.
- Experience analyzing large datasets with SQL and Python.
- Experience using AI tools to accelerate development, improve workflows, and automate processes.
- Strong analytical expertise, business acumen, and communication skills with non-technical partners.
- Knowledge of systems architecture and cloud infrastructure.
Nice to have
- Experience with payments or banking.
Culture & Benefits
- Remote work with flexible time off.
- Medical insurance and retirement savings plans.
- Modern family planning benefits.
- AI tools may be used to evaluate applications in accordance with local regulations and privacy laws.
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