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Job Description Summary:
PayPal has experienced explosive growth over the past few years and as its customers have grown and expanded, so too have the complexities and interdependencies of PayPal’s marketing analytics organization.
In this role as Head of Data Science for Marketing Analytics you will be leading and defining measurement strategy, shifting consumer behaviors while applying big data / predictive modeling to solve business problems. The role is built for a self-starter, and creative, quantitative thinker; someone comfortable pushing for structured insights amidst disparate data sets, and excited about applying data and analytics to advise marketing strategy.
The role reports to the Sr. Director of Marketing Analytics and will join a practice charged with developing a roadmap for PayPal’s integration of data into their decision-making lifecycle. Success will require balancing assessing business needs, with the ability to be hands-on in the data, building machine learning models (R, Python, etc), tools and other granular statistical analyses. Team goals include adapting predictive models for the quickly changing marketplace, enhancing customer engines, and identifying new ways to optimize attribution models.
The candidate must have a proven track record of extracting meaningful business insights from data, from data wrangling, to developing analytical frameworks and applying advanced statistical techniques. Working across consumer, marketing and media-related data sets, the Head of Data Science will require a self-starter attitude, plus curiosity and initiative-someone who wants to change the fundamental approach to marketing.
The role requires a balance of heads down data science work, alongside strategic thinking, team planning, and communication required to be successful. Worthy applicants possess a broad and deep data science skillset, tangible hands-on business/marketing application, and an ability to work with and influence the PayPal data science community.
Job Description:
Core Responsibilities:
- Machine Learning Initiatives include: Predictive Modeling, Audience & Content Insights, Attribution Modeling (Media Mix Modeling), Incrementality Testing
- Audience / Content Insights & Ad-hoc Studies: using available data sets and machine learning tools to enable both modular and comprehensive research into consumer behavior, marketing content effectiveness and an understanding of related proxy measures and data sets. Scope of data and analysis dependent on business questions and iterative feedback to uncover new, more meaningful questions.
Data & Tools Strategy
- Tool Development: assess business needs to translate complex model outputs into tangible, actionable and interactive reports and tools.
- Business Data Strategy: participation in acquisition, assessment and deployment of new consumer, content and marketing data sets, alongside Data Engineering and Measurement teams. Assess business needs to guide strategic integration and analysis of new data.
Skill In:
- Advanced Statistics – Supervised and unsupervised machine learning models, including regularization, feature engineering, training, as well as interpretation and integrity. Experience with clustering, affinity analysis, segmentation, simulation, customer profiling.
- Programming – Expertise with SQL data models (logical, physical, conceptual), R (required), Python (a plus, NumPy, pandas, scikit-learn), R Shiny dashboards & other R Studio Connect apps, including familiarity with databases, data wrangling, maintenance, cleaning. Comfort with ETL, API strategies.
- Visualization & Presentation – Represent complex information in easily understood visualization (including Tableau, PowerPoint, etc). Communicating clearly to executives, technology partners, agencies, and contributing to projects and meetings.
- Project Management – Strong attention to detail, willingness to wear multiple hats, building and tracking a work plan in a fast-based environment.
Ability To:
- Manage a team of marketing analysts & data scientists
- Analyze and organize large data sets to create a cohesive story that can inform marketing strategies
- Experiment with various tools and technologies, with the end goal of creating innovative data-driven insights at a quick pace.
- Handle data wrangling, cleansing, QC, as new data is considered. Success will require assisting Sony’s IT team to acquire/transfer, store, organize and operationalize data.
- Work collaboratively and horizontally across multiple teams with fragmented, vertical (title-by-title) priorities
- Translate business objectives into analytical functions, including ability to quantitatively assess risk.
Knowledge of:
- Business Processes: Experience with Agile methodology (Jira), Git
- Digital media/marketing landscape – Familiarity with addressable media strategies, CRM, ad-tech, audience buying platforms and methodologies, digital KPIs
Other:
• BA/BS degree required with technical focus (e.g. mathematics, computer science, physics)
• MS or PhD degree preferred
• Minimum of 4-7 years of progressively complex related experience
• Business experience in media industry preferred, but not required
Subsidiary:
PayPal
Travel Percent:
0
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.
PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.
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 .
As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.