Senior Data Scientist - Marketing

PayPal PayPal · Fintech · San Jose, CA +1 · Data Science

This role focuses on developing and implementing advanced marketing data science models, primarily for Marketing Mix Modeling (MMM). It involves collaborating with stakeholders, driving data science best practices, ensuring data quality, and mentoring junior scientists. The ideal candidate has experience with Bayesian MMM, attribution modeling, and causal inference, using tools like Python, R, and SQL, preferably on Google Cloud.

What you'd actually do

  1. Lead the development and implementation of advanced data science models.
  2. Collaborate with stakeholders to understand requirements.
  3. Drive best practices in data science.
  4. Ensure data quality and integrity in all processes.
  5. Mentor and guide junior data scientists.

Skills

Required

  • Python
  • R
  • SQL
  • regression analysis
  • time series modeling
  • data manipulation and preprocessing
  • problem-solving
  • analytical thinking

Nice to have

  • MS/PhD in Statistics, Mathematics, Applied Mathematics, Computer Science, Operations Research, Engineering, Economics
  • Bayesian MMM
  • PyMC marketing framework
  • attribution modeling
  • agile methodologies
  • experimentation and causal inference
  • Google Cloud
  • marketing technology platforms and data sources
  • communication of complex technical concepts
  • Publications related to marketing performance modeling and optimization

What the JD emphasized

  • marketing performance modeling and optimization
  • marketing mix modeling
  • Bayesian MMM
  • attribution modeling
  • experimentation and causal inference