Data Scientist - FP&A

PayPal is a global financial technology company that operates a two-sided network connecting merchants and consumers, enabling digital and mobile payments worldwide.
$120,000 - $200,000
Data
Mid-Level Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
Finance

Description For Data Scientist - FP&A

PayPal, a global leader in financial technology, is seeking a Data Scientist to join their FP&A team. This role represents an exciting opportunity to work at a company that has been revolutionizing commerce globally for more than 25 years. The position combines advanced analytics with strategic business impact, focusing on financial planning and decision-making.

The role sits within a team responsible for enhancing financial forecasting, risk assessment, and automation efforts for strategic business planning. The successful candidate will work with large, complex datasets to drive insights and improve forecasting accuracy, employing advanced analytical and statistical techniques to identify key business trends.

What makes this role particularly compelling is the opportunity to work at the intersection of data science and finance at a company that processes transactions for hundreds of millions of customers globally. The position offers a balanced hybrid work model with 3 days in office and 2 days flexible, along with comprehensive benefits including health insurance, equity options, and professional development opportunities.

The ideal candidate will bring 3-6 years of experience in data science or advanced analytics, with strong expertise in Python, SQL, and statistical modeling. They should be comfortable working with leadership and cross-functional teams, possessing both technical expertise and business acumen. The role offers significant growth potential and the chance to impact key financial metrics and long-term growth strategies at a global fintech leader.

PayPal's commitment to diversity, inclusion, and employee well-being, combined with their mission to democratize financial services, makes this an attractive opportunity for data scientists looking to make a meaningful impact in the financial technology sector. The company's culture emphasizes innovation, collaboration, and wellness, ensuring a supportive environment for professional growth and development.

Last updated 8 days ago

Responsibilities For Data Scientist - FP&A

  • Work with large, complex datasets to drive insights and improve forecasting accuracy
  • Employ advanced analytical techniques to identify key business trends
  • Engage in problem solving with Product, Finance, Marketing teams
  • Develop and present data-driven insights to leadership
  • Partner with engineering teams to enhance automation and scalability
  • Implement best practices in feature engineering and model tuning
  • Promote culture of continuous learning and innovation
  • Stay updated on latest advancements in predictive analytics

Requirements For Data Scientist - FP&A

Python
  • Bachelor's degree in a quantitative field (math, statistics, computer science, or similar STEM fields)
  • 3-6 years of experience in data science, machine learning, or advanced analytics
  • Expertise in Python or R for data modeling, statistical analysis, and machine learning
  • Strong SQL skills (preferably BigQuery) and experience with large-scale databases
  • Deep understanding of time-series forecasting, statistical modeling, and predictive analytics
  • Experience with cloud computing platforms (GCP, AWS, or Azure)
  • Proficiency in data visualization tools
  • Strong analytical thinking and problem-solving skills
  • Strong written, oral, and interpersonal skills
  • Ability to work with leadership & stakeholders
  • Ability to maintain flexible work schedule across multiple time zones

Benefits For Data Scientist - FP&A

Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
401k
Equity
Education Budget
Parental Leave
  • Health and life insurance
  • Employee share options
  • Flexible work environment
  • Retirement and investment resources
  • Paid Time Off
  • 4-week sabbatical program
  • Career and leadership training
  • Educational benefits
  • Company-matched giving
  • Comprehensive health and wellness programs

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