Sr. Manager, Data Science (MMM)

Key Skills

Data Analytics, Data management, Data science techniques, Effective communication skills, Google BigQuery, Python Programming, SQL

Job Description

Our Marketing Data Science transformation is in full swing. We embarked on transforming and building a world-class Marketing DS Org recently. Our team helps to power PayPal’s high-growth Marketing organization by delivering actionable insights and business intelligence for our 200+ million customers.

About You

In this role, you will lead a workstream solutions for complex, ambiguous, and high-visibility business challenges. You will set and execute on a vision that reflects your deep analytical expertise. You will be a thought partner to Marketing leadership teams.

You will partner with these teams to understand the insights they require to manage and grow their business and leverage cross-functional teams to develop and land solutions that meet their needs at scale. You are deeply curious and persistent in gaining knowledge about our products and go-to-market strategy.

You will have exposure and visibility to PayPal’s Marketing, Product, Finance, and Marketing Technology teams, as you work with them to build out a world-class MMM (Marketing Mix Modeling) program and manage the Analytics relationship with the company’s media agency partners. We are a team of entrepreneurial, enthusiastic, and client-focused members.

• If you are a fast learner, are willing to learn and grow, have a can-do attitude, and want to solve problems in the most pragmatic way.
• You are curious and inquisitive: love digging into data and uncovering insights.
• You are hyper-analytical and intellectually honest, truly believing in data-driven decisions and communicating your ideas through storytelling.
• You are familiar with data science and machine learning techniques to improve product experiences.
• You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance.
• You are a fun-loving, adventurous team player; we want to talk with you.

Responsibilities

• Develop and execute the roadmap of an internal MMM program leveraging the latest methodology and industry best practices.
• Lead the analytics relationship with media agencies across all Marketing business units.
• Build and lead a team of high-caliber data scientists to support Paid channel marketing analytics.
• The successful candidate will be responsible for providing data-driven insights including but not limited to Business casing, Deep dives, Modelling, Campaign Performance readouts, and optimization.
• The Manager will also deliver accurate, action-driving recommendations to drive business performance and investment optimization. This will be a people Manager role with heavy Individual contributions on Strategic projects.
• Manage multiple analytical projects at a time, in a fast-paced, intense, and results-oriented environment.
• Influence stakeholders to make business decisions in alignment with global measurement approaches.

Requirements

• Degree in Statistics, Applied Mathematics, Computer Science, Operations Research, Engineering, and Economics. Advanced degree strongly preferred.
• 8+ years of experience in analytics, data science or management consulting or equivalent analytical and project management experience. 5+ years as an analytics people manager.
• Extensive background in MMM (across the entire spectrum of product management, data architecture, and applied analysis), and Paid Media analytics is an absolute requirement.
• Accomplished contributor with experience managing high-performing Data Scientists, Quantitative Analysts, and Data Engineers.
• Experience working within and driving strategy for large, global, complex organizations across multiple stakeholders and teams.
• Exceptional problem-solving skills, with a strong ability to drive towards action and impact.
• Experience in managing analytics projects from inception to delivery, including developing structured solutions.
• Experience with visualizations, dashboards, and reports
• Experience with data modelling, machine learning algorithms, and data science techniques.
• Hands-on experience with Python, SQL, and BigQuery.
• Experience explaining technical concepts and analysis implications to varied audiences and translating business objectives into analyses.

PayPal is committed to fair and equitable compensation practices.

Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.

The U.S. national annual pay range for this role is

$107300 to $259600

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com.

Who We Are:

Click Here to learn more about our culture and community.

Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.