Senior Data Scientist, Credit

New
M
Remote, United StatesFull-TimeSenior
Salary$120,000 - $135,000
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Job Details

Experience
PhD with 1+ years or BS/MS with 3+ years
Required Skills
PythonKubernetesMachine LearningNumpyAirflowPandasSparkSoftware Engineeringscikit-learn

Requirements

  • PhD in a quantitative field with 1+ years of experience in a related role, or BS/MS in a quantitative field with 3+ years of experience.
  • Proven experience creating, deploying, and managing supervised learning models in production systems for vital applications.
  • Solid software engineering fundamentals including test-driven development, code review, and refactoring.
  • Proficiency in the PyData stack (numpy, scikit-learn, pandas).
  • Familiarity with ML tooling such as Spark, Kubernetes, Airflow, MLFlow, Chalk, BentoML, or DVC.
  • Strong preference for generalist data scientists motivated by practical solutions.
  • Experience managing a technical team is a plus.
  • Experience building end-to-end predictive models is a plus.
  • Experience in consumer lending or fintech is a plus.
  • Interest in training, interpreting, and deploying neural network architectures for time series classification is a plus.

Responsibilities

  • Design, develop, and deploy machine learning models to solve practical business and customer financial problems.
  • Partner with business leaders and technical experts to develop new data sources.
  • Improve modeling methodology and apply models with sound risk management.
  • Collaborate on complex technical problems, focusing on operationalizing and evaluating models for real-world applications.
  • Share best practices for software engineering with the broader data science team.
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$120,000 - $135,000
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