Data Scientist Opportunity 2025 | PayPal is hiring Data Scientist. The working location is Bengaluru, India. Interested candidates can apply online as soon as possible. The detailed eligibility and application process are given below.
Data Scientist Opportunity at PayPal | Bengaluru – Overview
| Company Name: | PayPal |
| Job Role: | Data Scientist |
| Location: | Bengaluru |
| Work Mode: | On-site |
| Last Date to Apply: | ASAP |
Job Description
- PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
Skills Required:
- Data-driven mindset with a degree in a quantitative discipline such as Computer Science, Statistics, Engineering, Mathematics, or Economics
- 2+ years of relevant work experience in analyzing large, multi-dimensional data sets and synthesizing data insights into actionable recommendations
- Story telling & Communication.
- SQL (advanced) & Python (Basic)
- ML & Stats application
- AB testing measurements
- Exceptional written and verbal communication skills to influence cross-functional teams
Responsibility:
- Experiment measurement : Experiment design, ramp decisions, segment level insights & measurement
- Opportunity identification: Entails solving open ended problems to uncover opportunities to move the key KPIs. Often involves ML/DS techniques
- RCA: Uncover why the KPIs are fluctuating (up and down) or if some experience is broken and requires investigating
- Improve product experiences for 200+ million customers using data science techniques
- Leverage the Objective & Key Results (OKR) framework to identify product metrics and monitor product performance through dashboards and ad hoc analysis
- Present findings and recommendations to senior-level/non-technical stakeholders
- Deliver actionable, data-driven insights to help understand customer behavior, launch and optimize new features, and prioritize the product roadmap Build automation
- Identify key metrics, conduct rigorous explorative data analysis, create exec-facing dashboards, and build business cases that drive decision-making and business prioritization
