Senior Data Scientist (Credit)

Role overview

Join Mission Lane as a Senior Data Scientist (Credit) to innovate and improve machine learning models that drive accurate financial decisions. You’ll partner with business leaders and technical teams to develop data sources, enhance modeling methodology, and deploy models with sound risk management.

Key missions & responsibilities

• Design, develop, and deploy machine learning models to solve practical business problems and support customers’ financial goals.
• Collaborate cross-functionally to create new data sources, improve modeling methodology, and apply models with risk management in mind.
• Operationalize and evaluate models for real-world applications.
• Share software engineering best practices and help other data scientists with complex technical challenges.
• Support end-to-end predictive modeling and production management.

Requirements

• BS/MS in a quantitative field with 3+ years in a related data science role.
• Demonstrated ability to apply software engineering fundamentals (e.g., test-driven development, code review, refactoring).
• Strong PyData stack experience: NumPy, scikit-learn, pandas, etc.
• Experience building and managing supervised learning models in production.
• Experience creating predictive models end to end.
• Generalist mindset: practical solutions over theoretical elegance.
• Interest in a wide range of ML tools and ecosystems.

Nice-to-haves

• PhD in a quantitative field with 1+ years in a related role.
• Experience in consumer lending or fintech.
• Experience managing a strong technical team.
• Experience with modern ML/data engineering tools such as:
  • Established: Spark, Kubernetes, Airflow, MLflow
  • Emerging: Chalk, BentoML, DVC
• Interest in training, interpreting, and deploying neural networks for time series classification.

Remote

• Full remote