Senior Data Scientist

What you'll do

• Build and maintain machine learning models for user experience personalization, balance optimization, and fraud controls.
• Develop reliable data pipelines and features for model development while identifying infrastructure gaps.
• Deploy, monitor, and improve both batch and real-time models following production standards.
• Translate complex business questions into well-structured data science solutions in collaboration with product teams.
• Write clean, documented, and reproducible code for all model development and pipeline work.
• Communicate technical model results and trade-offs to cross-functional partners as clear business outcomes.
• Ensure high data quality standards and proactively flag issues to improve team patterns.

What we're looking for

• Bachelor's or advanced degree in a quantitative discipline like computer science, machine learning, statistics, or data science.
• 5+ years of Data Science and Machine Learning experience within fintech, payments, or a similar regulated consumer domain.
• Proven track record of building and shipping production models that drive measurable business outcomes.
• Advanced proficiency in SQL and Python for building and maintaining reliable feature engineering pipelines.
• Experience with end-to-end model deployment including data pipelines, monitoring, drift detection, and A/B testing.
• Experience owning models in production environments where failures have real financial or compliance consequences.
• Proficiency across modern AI, classical ML, statistical, and probabilistic methods to solve business objectives.
• Ability to write clean, well-documented, and reproducible code following standards for maintainability and auditability.