PayPal
Senior Data Scientist, MMM
PayPal, New York, New York, us, 10261
The Company
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.
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities.
Job Description Summary:
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.
Job Description:
The Team
Our Marketing Mix Modelling (MMM) team sits within the broader Global Marketing Analytics Team. By leveraging the state-of-the-art models, we aim at building an in-house marketing effectiveness measurement and optimization solution. We will be a strategic partner to Marketing Organization to drive business-critical insight and decision-making.
Job Responsibilities
Develop and implement advanced statistical models and machine learning algorithms Provide data-driven insights and optimization scenarios based on our MMM solution. Analyze large datasets to extract actionable insights Implement marketing mix models to forecast marketing performance Collaborate with marketing teams to translate business questions and objectives into analytical frameworks Work with internal and external stakeholders to gather the data required for building models Influence stakeholders to make business decisions in alignment with global measurement approaches The successful candidate will be responsible for providing data-driven insights and optimization scenarios based on our MMM solution. Interpret results from marketing mix models and translate them into actionable insights Develop and maintain dashboards and reports for stakeholders Conduct ad-hoc analyses to support marketing decisions
Job Requirements
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 5+ years of experience in data science, machine learning or advanced analytics. Advanced knowledge of statistical techniques, particularly regression analysis and time series modeling Proficiency in programming and query languages like Python, R and SQL. Knowledge of marketing strategies and technology. Experience in leveraging marketing mix modeling to optimize marketing strategies. Understanding of marketing channels, metrics, and KPIs Experience with cloud technology; particularly Google Cloud. Proficiency in data manipulation and preprocessing Strong problem-solving and analytical thinking abilities Familiarity with marketing technology platforms and data sources Ability to communicate complex technical concepts to non-technical stakeholders Ability to tell compelling stories with data Critical thinking and problem-solving abilities Knowledge of digital marketing strategies and tactics
Preferred Qualifications
Publications related to marketing performance modeling and optimization.
Experience with attribution modeling.
Experience with agile methodologies
Additional Job Description: Subsidiary: PayPal Travel Percent: 0 - 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 $84500 to $204600 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 talentaccommodations@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply. Notice to Applicants and Employees who reside within New York City. Click here to view the notice.
Minimum Salary: 84500.00 Maximum Salary: 204600.00 Salary Unit: Yearly
Develop and implement advanced statistical models and machine learning algorithms Provide data-driven insights and optimization scenarios based on our MMM solution. Analyze large datasets to extract actionable insights Implement marketing mix models to forecast marketing performance Collaborate with marketing teams to translate business questions and objectives into analytical frameworks Work with internal and external stakeholders to gather the data required for building models Influence stakeholders to make business decisions in alignment with global measurement approaches The successful candidate will be responsible for providing data-driven insights and optimization scenarios based on our MMM solution. Interpret results from marketing mix models and translate them into actionable insights Develop and maintain dashboards and reports for stakeholders Conduct ad-hoc analyses to support marketing decisions
Job Requirements
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 5+ years of experience in data science, machine learning or advanced analytics. Advanced knowledge of statistical techniques, particularly regression analysis and time series modeling Proficiency in programming and query languages like Python, R and SQL. Knowledge of marketing strategies and technology. Experience in leveraging marketing mix modeling to optimize marketing strategies. Understanding of marketing channels, metrics, and KPIs Experience with cloud technology; particularly Google Cloud. Proficiency in data manipulation and preprocessing Strong problem-solving and analytical thinking abilities Familiarity with marketing technology platforms and data sources Ability to communicate complex technical concepts to non-technical stakeholders Ability to tell compelling stories with data Critical thinking and problem-solving abilities Knowledge of digital marketing strategies and tactics
Preferred Qualifications
Publications related to marketing performance modeling and optimization.
Experience with attribution modeling.
Experience with agile methodologies
Additional Job Description: Subsidiary: PayPal Travel Percent: 0 - 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 $84500 to $204600 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 talentaccommodations@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply. Notice to Applicants and Employees who reside within New York City. Click here to view the notice.
Minimum Salary: 84500.00 Maximum Salary: 204600.00 Salary Unit: Yearly