Sr Data Scientist

Job Summary:
This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists.

Job Description:

PayPal, Inc. seeks Sr Data Scientist in San Jose, CA

Job Duties: Leverage data and analytics to drive strategy and initiatives while taking end-to-end ownership of key projects. Perform deep dive analyses on key business trends from multiple perspectives and package the insights into easily consumable presentations. Make data visually appealing and simple to both navigate and comprehend for end-users. Identify key metrics and drive the building of exec-facing dashboards to track the progress of the business and its highest priority initiatives. Identify key business levers, establish cause and effect, and communicate key findings to various stakeholders to facilitate data driven decision-making. Engage in problem-solving with Risk, Product, Marketing, Design, Engineering and various other teams to determine performance trends and root causes. Design hypothesis-driven experiments; support new product launches by establishing test and control plans, providing cohesive and comprehensive recommendations based on test outcomes, and ensuring constant monitoring is in place to track product performance. Create close relationships with stakeholders to anticipate and answer questions that might be asked by executives. Combine findings to convey clear insights, and analyze large, complex, multi-dimensional data sets. Solve problems analytically and create actionable recommendations. Establish and promote best practices in analytics instrumentation and experimentation. Manage multiple projects simultaneously in a fast-paced, results-driven environment. Partial telecommuting permitted from within a commutable distance.

Additional Responsibilities & Preferred Qualifications:

Minimum Requirements: Master's degree, or foreign equivalent, in Data Science, Business Analytics, Statistics, or a closely related field, plus three years of experience in the job offered or a related occupation.

Special Skill Requirements:

Experience using SQL and at least one scripting language: Python or R, for processing large, complex, and messy datasets. (3 years);

Experience designing and reading out A/B Testing or hypothesis testing to inform product decisions and new experience launches (3 years);

Experience with Product Analytics to conduct funnel analysis, user segmentation, and identify growth opportunities (3 years);

Experience with reporting tools: Tableau, Looker, or Excel (2 years);

Experience defining, measuring, and monitoring key business and product KPIs (3 years);

Experience partnering with leadership engineers, product managers, and data engineers to understand business needs and how these can be addressed through analytics (3 years);

Experience in Statistical Modeling - including regression, time-series forecasting, and classification models - to quantify impact, predict outcomes, and support strategic decision-making. (3 years);

Experience translating complex problems into simpler terms, and effectively influencing both peers and senior leadership (3 years).

The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:

Primary Location | Pay Range:

San Jose, CA | Salary: $175,040.00-243,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m. Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.

Must be legally authorized to work in the U.S. without sponsorship.

Subsidiary:
PayPal

Travel Percent:
0

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.

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 comprehensive, choice-based programs, to support all aspects of personal wellbeing-physical, emotional, and financial-delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

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.