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Principal Data Scientist

2 months ago

Springfield, Illinois, United States Discover Financial Services Full time
Job Summary

We are seeking a highly skilled Principal Data Scientist to join our team at Discover Financial Services. As a key member of our analytics team, you will be responsible for developing and implementing advanced analytics solutions to drive business growth and improve risk management.

Key Responsibilities
  • Lead Advanced Analytics Initiatives
    • Develop and implement advanced analytics solutions to drive business growth and improve risk management
    • Collaborate with cross-functional teams to understand business needs and develop data-driven solutions
  • Provide Thought Leadership
    • Provide strategic guidance and thought leadership on advanced analytics initiatives
    • Develop and maintain expertise in statistical analysis, machine learning, and data visualization
  • Manage and Analyze Data
    • Manage and analyze large datasets to identify trends and insights
    • Develop and maintain data visualizations to communicate findings to stakeholders
  • Collaborate with Stakeholders
    • Collaborate with business stakeholders to understand needs and develop data-driven solutions
    • Communicate findings and recommendations to stakeholders through clear and concise reports and presentations
Requirements
  • Education
    • Bachelor's degree in Analytics, Engineering, Statistics, or related field
  • Experience
    • 6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science, or related field
  • Technical Skills
    • Advanced knowledge of statistical analysis, machine learning, and data visualization
    • Proficiency in programming languages such as Python, R, or SQL
    • Experience with data visualization tools such as Tableau or Power BI
Preferred Qualifications
  • Education
    • Master's degree in Analytics, Engineering, Mathematics, Statistics, or related field
  • Experience
    • 4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science, or related field
  • Technical Skills
    • Advanced knowledge of cloud-based data platforms such as Snowflake or Amazon Redshift
    • Experience with machine learning frameworks such as TensorFlow or PyTorch