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Job Description Summary:
The Shopping & Loyalty team is passionate about rewarding users for their online shopping activities and driving user engagement and loyalty. The acquisition of Honey is only the beginning of our journey to create rich, innovative experiences that people can’t imagine shopping without.
We are seeking an exceptional data science leader with a passion for data insights and relentless focus on execution:
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 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 player-coach, and are not afraid of rolling up your sleeves and jumping into details
Your day to day:
Challenge the status quo, and drive data backed decision making
Partner closely with product managers to understand new product offerings being built and recommend the right metrics to measure the performance of those features
Identify key metrics, conduct rigorous explorative data analysis, create dashboards, and build business cases that drive decision making and business prioritization
Analyze consumer product performance and health, triage issues, and provide recommendation on the best course solution and optimization
Synthesizing large volumes of data with attention to granular details and present findings and recommendations to product stakeholders
Collaborate with engineering and data engineering to enable feature tracking, resolve complex data and tracking issues, and build necessary data pipelines
Support multiple projects at the same time in a fast-paced, results-oriented environment
What do you need to bring:
At least 3 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
B.S. in a quantitative field, advanced degrees preferred
Fluent in SQL and at least one scripting language such as Python or R, comfortable working with large, complex, and potentially messy datasets
Understanding of statistics (e.g. hypothesis testing, statistical inference, regression) and experience designing and evaluating complex experiments
Exceptional communication skills, both written and verbal, to influence cross-functional teams
Strong interpersonal skills and experience leading cross-functional teams
Prior work experience in a product analytics space would be highly valued
A passion for problem-solving and comfort with ambiguity
Additional Job Description:
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
$72700 to $176000
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 firstname.lastname@example.org.
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.