PayPal Recruitment Drive 2025; Hiring Data Scientist – Apply Now

High-Paying Data Scientist Jobs in Bangalore & Chennai – Apply Online!!!

PayPal has announced openings for the position of Data Scientist at its offices in Bangalore & Chennai. This role is a great opportunity for graduates, engineers, and postgraduates with either fresher or professional experience to grow their career in machine learning and data science jobs with a leading global fintech company. Below are the complete details about the eligibility criteria, job description, and application process.

Name of the Company	PayPal
Required Qualifications	Graduate
Skills	Data mining, statistical modeling, SQL, Python, R, Machine Learning
Category	Data Science / Analytics
Work Type	Onsite

About the Role

As a Data Scientist at PayPal, you will design, develop, and implement data science models and algorithms to solve real-world business challenges. This position requires strong analytical and statistical expertise, with hands-on experience in predictive modeling, machine learning, and big data analytics. You will partner with stakeholders across teams to ensure data-driven decision-making, optimize data pipelines, and contribute to building scalable AI solutions in the fintech industry.

Job Details

Θ Positions: Data Scientist

Θ Job Location: Bangalore & Chennai

Θ Salary: As Per Company Norms

Θ Job Type: Full Time

Θ Requisition ID: R0131264

Roles & Responsibilities

• Build and implement data science models and advanced algorithms to support business needs.
• Analyze and interpret large, complex datasets to derive insights.
• Ensure data quality and accuracy across multiple data sources.
• Work closely with stakeholders to translate requirements into data-driven solutions.
• Optimize processes for efficiency, automation, and scalability.
• Perform statistical analysis, forecasting, and reporting using modern tools.

Required Skills & Qualifications

• Minimum of 2 years of relevant work experience with a Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or related fields.
• Proficiency in SQL, Python, R, or SAS for data mining, data analysis, and predictive modeling.
• Experience with cloud-based big data platforms like Hadoop, Spark, or similar.
• Familiarity with reporting tools such as Tableau, Power BI, or Qlik.
• Strong knowledge of machine learning techniques including regression, classification, time-series forecasting, and NLP.
• Ability to structure analyses to solve business problems using data-driven approaches.
• Excellent communication, problem-solving, and collaboration skills.

Preferred Qualification:

• Master’s degree with 1–2 years of experience in data science or risk modeling in the payments, banking, or financial services industry.
• Experience applying AI and predictive analytics in fintech, fraud prevention, or risk management will be highly desirable.

Benefits

• Opportunity to work with one of the world’s top fintech companies.
• Exposure to cutting-edge AI, ML, and data science projects.
• Collaborative and inclusive work culture.
• Career growth and professional training opportunities.
• Competitive compensation and employee benefits.

How to Apply:

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