Data Science Leader

5 days ago


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

We are seeking a highly skilled Data Science Leader to join our team at Discover Financial Services. As a key member of our analytics team, you will be responsible for driving business growth through data-driven insights and strategic decision-making.

Key Responsibilities
  • Lead Data-Driven Initiatives
    • Develop and implement advanced analytics strategies to drive business growth and improve customer experience.
    • Collaborate with cross-functional teams to identify business opportunities and develop data-driven solutions.
  • Provide Thought Leadership
    • Stay up-to-date with industry trends and emerging technologies in data science and analytics.
    • Develop and maintain expertise in statistical analysis, machine learning, and data visualization.
  • Manage and Analyze Data
    • Design and implement data collection and analysis processes to support business decisions.
    • Develop and maintain data visualizations and reports to communicate insights to stakeholders.
  • Collaborate with Stakeholders
    • Communicate complex data insights and recommendations to non-technical stakeholders.
    • Collaborate with business leaders to develop and implement data-driven strategies.
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.
  • Skills
    • Advanced knowledge of statistical analysis, machine learning, and data visualization.
    • Experience with data visualization tools such as Tableau or Power BI.
    • Strong communication and collaboration skills.
Preferred Qualifications
  • Education
    • Master's degree in Analytics, Engineering, Mathematics, Statistics, or related field.
  • Experience
    • Experience in Digital Marketing, especially in Paid Search, Paid Social, and Adobe Analytics.
    • Experience with clean rooms and credit data.
  • Skills
    • Proficiency in programming languages such as Python, R, or SQL.
    • Experience with data management tools such as Snowflake, Oracle, or PostGres.


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