For over 25 years, PayPal has been at the forefront of the digital commerce revolution. As a global leader in FinTech, we operate a two-sided network at scale, connecting hundreds of millions of consumers and merchants in approximately 200 markets. Our mission is to empower individuals and businesses to join and thrive in the global economy by making it simple, personalized, and secure to move money.
Position Overview: The Role
We are seeking a talented and analytical Data Scientist to join our team in Bangalore. In this role, you will be responsible for developing and implementing sophisticated data science models and algorithms to support our business needs. You will collaborate with stakeholders to understand data requirements, optimize data processes, and deliver solutions that ensure data quality and integrity. This is a full-time, hybrid position where you will work on complex datasets to drive business insights.
Job Details
| Detail | Information |
| Company: | PayPal |
| Position: | Data Scientist |
| Experience: | 2+ Years of relevant work experience |
| Location: | Bengaluru, Karnataka |
| Work Model: | Hybrid (3 days in office) |
| Industry: | FinTech / Financial Services |
| Requisition ID: | R0131288 |
Key Responsibilities
- Develop and implement data science models and algorithms to solve business problems.
- Analyze and interpret complex datasets to extract actionable insights.
- Ensure the quality and integrity of the data used in all models and analyses.
- Collaborate with stakeholders across the business to understand their data requirements.
- Optimize data processes to improve efficiency and performance.
- Perform advanced statistical analysis and create detailed reports.
Required Skills & Qualifications
- Education: A Bachelor’s degree or equivalent experience.
- Experience: A minimum of 2 years of relevant work experience in data science, data analysis, or a related field.
- Skills:
- Strong proficiency in developing and implementing data science models.
- Expertise in statistical analysis and interpreting complex datasets.
- A collaborative mindset with excellent communication skills.
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How to Apply
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