Senior Data Scientist

Senior Data Scientist ⚡

Series C B2B Payments Firm ($120M in Funding) ⚡

Remote (USA), except for California ⚡

150-180k base + bonus + equity ⚡

About the Company

We are a fast-growing fintech company backed by top-tier investors, building technology that powers secure and seamless payments. Our platform connects global businesses with modern solutions for accepting and issuing payments in search for a Senior Data Scientist.

The Role

We are seeking a Senior Data Scientist to join our team and help drive data-driven decision-making across the organization. This is a hands-on role where you’ll work closely with engineering, product, and business stakeholders to design, build, and deploy data models that improve customer experience, reduce fraud, and optimize operational performance. We are looking for someone with strong start-up / engineering experience.

Responsibilities

• Build and deploy advanced machine learning models for fraud detection, risk management, and customer insights.
• Partner with product and engineering teams to design data-driven features that enhance our payment platform.
• Design and implement scalable data pipelines and model monitoring frameworks.
• Mentor junior data scientists and analysts, contributing to a culture of best practices in data science and experimentation.
• Communicate findings and recommendations to leadership in a clear, actionable manner.

Qualifications

• 5+ years of professional experience in data science, applied machine learning, or a related field.
• Strong proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL.
• Extensive experience with machine learning in a production environment, particularly using Databricks.
• Proficiency in data visualization tools (e.g., Matplotlib, Seaborn, Power BI) to effectively communicate findings
• Experience working with external data vendors such as LexisNexis, Experian, Equifax, etc..
• Background in fintech, payments, fraud detection, or risk analytics is a strong plus.