Job Summary:Job Description:PayPal, Inc. seeks
Data Scientist 1 in
San Jose, CA Job Duties: Build new data models including predictive lead scoring model for new sales, create presentations, and lead strategic exercises (e.g., annual segmentation planning). Initiate, design, and deploy new technical solutions and analytic models to support the business. Collect, collate, and provide analytical information for weekly/monthly meetings (e.g., Sales pipeline review, monthly operations review). Manage analytical projects from end to end, from inception to delivery. Execute complex, ambiguous, and high-visibility business challenges and maintain direct relationships with critical stakeholders. Leverage data and analytics to deliver accurate, action-driving recommendations utilizing knowledge of and experience with SQL, statistics, and visualization skills. Partial telecommuting permitted from a commutable distance.
Minimum Requirements: Master's degree, or foreign equivalent, in Data Science, Quantitative Management, or a closely related field plus two years of experience in the job offered or a related occupation.
Special Skill Requirements:
- Experience using Python and SQL for data analysis, querying databases, and machine learning (2 years);
- Experience with statistical analysis, probability, hypothesis testing, parametric & non-parametric tests, and A/B testing frameworks and product analytics (2 years);
- Experience with Bayesian Statistics and Mixed Effect Modeling to measure product launches (2 years);
- Experience with Causal Inference methods to measure product impact (1 year);
- Experience with machine learning and predictive modeling using scikit-learn (1 year);
- Experience with data visualization using Tableau, Looker, Plotly, Dash, and Matplotlib/Seaborn for presenting insights (2 years);
- Experience handling large-scale datasets using PySpark, Hadoop, or BigQuery (2 years);
- Experience with cloud computing, storage, and model deployment on AWS, GCP, or Azure (2 years);
- Experience with designing ETL pipelines and working with structured and unstructured data in data warehouses (2 years);
- Experience translating data insights into actionable business strategies and communicating findings to stakeholders (2 years).
Additional Responsibilities & Preferred Qualifications: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, California | Salary: $174,304.00-243,500.00 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.
