As an Associate Data Scientist you will leverage your expertise in AWS Machine Learning PySpark and Python to drive innovative solutions in the Cards & Payments domain. You will work in a hybrid model collaborating with cross-functional teams to enhance data-driven decision-making processes. Your contributions will directly impact the companys growth and societal advancements in financial technology.
Responsibilities
- Develop and implement machine learning models using AWS Machine Learning to optimize payment processing systems.
- Collaborate with cross-functional teams to identify data-driven opportunities within the Cards & Payments domain.
- Utilize PySpark for large-scale data processing to improve transaction efficiency and accuracy.
- Apply Python programming skills to automate data analysis workflows and enhance predictive analytics.
- Conduct thorough research and analysis to identify trends and patterns in payment data.
- Provide insights and recommendations based on data analysis to support strategic decision-making.
- Ensure data integrity and security while handling sensitive payment information.
- Design and maintain scalable data pipelines to support real-time analytics.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Monitor and evaluate the performance of machine learning models to ensure optimal functionality.
- Stay updated with the latest advancements in data science and machine learning technologies.
- Contribute to the development of best practices and standards for data science within the organization.
- Support the team in troubleshooting and resolving data-related issues.
Qualifications
- Demonstrate proficiency in AWS Machine Learning showcasing the ability to develop and deploy models effectively.
- Exhibit solid skills in PySpark enabling efficient processing of large datasets.
- Possess advanced Python programming capabilities for data analysis and automat
📌 Associate Data Scientist (Chennai)
🏢 Cognizant
📍 Chennai
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