Senior Data Scientist - Marketing

PayPal • San Jose, CA

1d • Hybrid

About The Position

PayPal has been revolutionizing commerce globally for more than 25 years, creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure. PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy, operating a global, two-sided network connecting hundreds of millions of merchants and consumers. The company facilitates payments online or in person, providing proprietary payment solutions and enabling customers to use various funding sources like bank accounts, PayPal/Venmo balances, credit products, cards, cryptocurrencies, or gift cards. PayPal, Venmo, and Xoom products also simplify fund transfers between friends and family. For merchants, PayPal offers an end-to-end payments solution with authorization, settlement, instant fund access, and support for customer connections, exchanges, returns, and risk management. The company also aids cross-border shopping and global reach for merchants by reducing complexity. PayPal's operations are guided by core values of Inclusion, Innovation, Collaboration, and Wellness, fostering a global team focused on customers and community well-being. This Senior Data Scientist role will lead the development and implementation of advanced marketing data science models and algorithms, specifically focusing on Marketing Mix Modeling. The individual will collaborate with stakeholders to understand requirements, deliver solutions, drive best practices in data science, ensure data quality, and mentor junior scientists. The Marketing Mix Modelling (MMM) team, part of the Global Marketing Analytics Team, aims to build an in-house marketing effectiveness measurement and optimization solution, acting as a strategic partner to the Marketing Organization to drive business-critical insights and decision-making for PayPal's 200+ million customers.

Requirements

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
• Advanced knowledge of statistical techniques, particularly regression analysis and time series modeling
• Proficiency in programming and query languages like Python, R and SQL.
• Proficiency in data manipulation and preprocessing
• Strong problem-solving and analytical thinking abilities
• Ability to communicate complex technical concepts to non-technical stakeholders

Nice To Haves

• MS/PhD in Statistics, Mathematics, Applied Mathematics, Computer Science, Operations Research, Engineering, Economics.
• 5+ years of experience in marketing performance modeling and optimization including marketing mix modeling
• Experience with Bayesian MMM
• Experience with PyMC marketing framework
• Experience with attribution modeling.
• Experience with agile methodologies
• Experience with experimentation and causal inference
• Experience with cloud technology; particularly Google Cloud.
• Familiarity with marketing technology platforms and data sources
• Publications related to marketing performance modeling and optimization.

Responsibilities

• Lead the development and implementation of advanced data science models.
• Collaborate with stakeholders to understand requirements.
• Drive best practices in data science.
• Ensure data quality and integrity in all processes.
• Mentor and guide junior data scientists.
• Stay updated with the latest trends in data science.

Benefits

• comprehensive, choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most.
• flexible, balanced work culture
• holistic approach to benefits
• generous paid time off
• healthcare coverage for you and your family
• resources to create financial security
• support your mental health

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees