
Sr Data Scientist
Responsibilities
Qualifications & Requirements
Experience Level: Senior Level
Full Job Description
Senior Data Scientist - Chennai, India
PayPal is seeking a talented Senior Data Scientist to join our dynamic team in Chennai, India. In this role, you will be instrumental in leading the development and implementation of advanced data science models. You will collaborate closely with stakeholders to deeply understand business requirements and translate them into actionable data-driven solutions. A key responsibility will be to drive best practices in data science methodologies and ensure the highest standards of data quality and integrity across all processes. You will also have the opportunity to mentor and guide junior data scientists, fostering a culture of learning and growth within the team. Staying abreast of the latest trends and innovations in the field of data science is crucial for continuous improvement.
Responsibilities:
- Lead the development and implementation of advanced data science models.
- Collaborate with stakeholders to understand and define requirements.
- Drive and promote best practices in data science.
- Ensure data quality and integrity in all data-related processes.
- Mentor and guide junior data scientists.
- Stay updated with the latest trends and advancements in data science.
Qualifications:
- Minimum of 5 years of relevant work experience.
- Bachelor's degree in a quantitative field (such as Analytics, Statistics, Mathematics, Economics, Engineering) or equivalent practical experience.
- 5+ years of experience in a consumer credit or small business credit-related position, OR 4+ years of experience in performing data management and analytics within the payments or e-commerce space.
- Proven experience in the ideation, research, discovery, development, implementation, and ongoing monitoring of quantitative solutions for consumer credit or small business credit.
- Familiarity with data engineering, data management, data modeling, and standard ETL techniques (extract, de-dupe, cleanse, integrate, aggregate).
- Expertise in SQL, Python, Excel, PowerPoint, and Data Visualization tools (e.g., Tableau, Power BI).
- Effective written and verbal communication skills, with the ability to present to senior executive-level leaders.