Senior Data Scientist

Overview

About the Role:

We are seeking a highly skilled and motivated Senior Data Scientist with over 5 years of industry experience. The ideal candidate will have strong expertise in data science, statistical modeling, and machine learning, combined with hands-on experience in AWS Cloud services and programming languages such as Python and SQL. If you are passionate about leveraging data to drive business decisions and are comfortable working in a cloud-native environment, we want to hear from you!

Key Responsibilities:

• Develop, implement, and optimize machine learning models and data analytics solutions.
• Design and deploy scalable data pipelines and ETL processes using AWS services.
• Utilize AWS Cloud components such as S3, SageMaker, Lambda, Step Functions, CloudWatch, ECS, Fargate, ECR, and EC2 for data processing and model deployment.
• Perform data cleaning, transformation, and analysis using Python and SQL.
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• Monitor and maintain deployed models and workflows to ensure performance and reliability.
• Stay updated on the latest advancements in data science, machine learning, and cloud technologies to continuously improve processes.

Required Qualifications:

• Bachelor’s degree in Engineering (B.E./B.Tech) or MCA.
• Minimum 5 years of professional experience in data science or related fields.
• Proficient in Python and SQL for data manipulation, analysis, and model development.
• Strong hands-on experience with AWS Cloud infrastructure and services including S3, SageMaker, Lambda, Step Functions, CloudWatch, ECS, Fargate, ECR, and EC2.
• Solid understanding of machine learning algorithms, statistics, and data modeling techniques.
• Experience deploying machine learning models and managing cloud-based production environments.
• Excellent problem-solving skills and ability to work independently as well as in a team.
• Strong communication skills to effectively explain technical concepts to non-technical stakeholders.

Preferred Skills:

• Experience with containerization tools like Docker.
• Familiarity with CI/CD pipelines and infrastructure as code.
• Exposure to big data technologies with a background in financial services, insurance, risk modeling and fraud detection is a plus.

Job Types: Full-time, Permanent

Pay: ₹1,200,000.00 - ₹1,500,000.00 per year

Benefits:

• Paid sick time
• Paid time off
• Provident Fund

Experience:

• AWS: 1 year (Required)
• Python: 4 years (Required)
• SQL: 4 years (Required)

Work Location: In person