Sr Manager, Data Science

PayPal•Scottsdale, AZ
•$203,507 - $288,500•Hybrid

About The Position

PayPal, Inc. seeks a Sr Manager, Data Science in Scottsdale, Arizona. This role designs and implements advanced data science models to support business needs, works with stakeholders to understand requirements and deliver solutions, drives data science best practices, ensures data quality, and mentors junior scientists. The position leads complex data science projects and develops advanced models and algorithms to analyze large datasets and solve business problems. It collaborates with senior leadership to identify data-driven opportunities for growth and efficiency, implements best practices for data management, analysis, and visualization, and ensures data governance and regulatory compliance. Partial telecommuting is permitted from within a commutable distance. The role is 40 hours per week, Monday through Friday, from 9:00 a.m. to 5:00 p.m. Travel is not required.

Requirements

  • Bachelor’s degree or foreign equivalent in Computer Science, Engineering, or a closely related field.
  • Eight years of experience in the job offered or a related occupation.
  • Three years of experience with complex data science projects using Python, Machine Learning, and GPT models.
  • Three years of experience developing and designing advanced data models using Python, SQL, and database systems.
  • Three years of experience collaborating with senior leaders to present data-driven opportunities using Python, SQL, and reporting tools.
  • Three years of experience implementing best practices for data management, analysis, and visualization using enterprise regulated practices, Python, SQL, and Tableau.
  • Three years of experience with compliance and data governance using Python and SQL.
  • Must be legally authorized to work in the United States without sponsorship.

Responsibilities

  • Lead complex data science projects, ensuring they meet business objectives and deliver actionable insights.
  • Develop advanced data models and algorithms to analyze large datasets and solve complex business problems.
  • Collaborate with senior leadership to identify data-driven opportunities for business growth and efficiency.
  • Implement best practices for data management, analysis, and visualization.
  • Ensure data governance and compliance with relevant regulations and standards.
  • Provide mentorship and technical guidance to the data science team.
  • Work with stakeholders to understand requirements and deliver solutions.
  • Drive data science best practices and ensure data quality.

Benefits

  • Generous paid time off.
  • Healthcare coverage for employees and their families.
  • Resources to support financial security and mental health.
  • Additional compensation may include an annual performance bonus, equity, or other incentive compensation, as applicable.
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