Staff Product Data Scientist

Key Skills

Data science techniques, Microsoft-Excel, Product Management, Python Programming, QlikView, R Programming, SQL, Tableau

Job Description

About You:

• You believe in data-driven decisions and use data to answer business questions
• You are hyper-analytical, intellectually honest, and extremely passionate about data and testing (e.g., A/B experimentation)
• 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 energized, fun-loving and an adventurous team player

The Role:

• 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 executive facing dashboards and build business cases that drive decision making and business prioritization
• Analyze merchant 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 senior-level stakeholders
• Guide and mentor group of team members on day-to-day delivery
• Define and cultivate best practices in analytics instrumentation and experimentation
• Support multiple projects at the same time in a fast-paced, results-oriented environment
• Provide strategic and tactical guidance on specific data elements that need to be tracked to enable tracking of metrics and assess user behavior
• Collaborate with data platform teams to build/enhance necessary data platforms to provide metrics & business insights and build alerts to monitor those metrics.

Requirements:

• At least 7 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
• Data driven mindset with a Bachelor’s/Master’s degree in any quantitative discipline such as Analytics, Engineering, Computer Science, Economics, Statistics or Mathematics
• Fluent in SQL, Excel, and visualization tools such as Tableau or Qlikview; experience with a statistical programming language like R or Python preferred
• Experience analyzing very large, complex, multi-dimensional data set
• Experience with one or multiple of the following will be highly desirable; Jupyter Notebooks, Teradata, Hadoop/Hive, SQL, BigQuery
• Domain expertise in payments or other financial services
• Exceptional communication skills, both written and verbal, to influence cross-functional teams
• Prior work experience in a product analytics space would be highly valued
• A passion for problem-solving and comfort with ambiguity

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

$96900 to $234300

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.