Data Scientist

About the Role

Llp S3bglobal Technologies is seeking a skilled Data Scientist to join our growing team in Kolkata and Mumbai. This permanent position offers an exciting opportunity to work on challenging projects involving advanced AI/ML implementation, cloud technologies, and robust Python development.

Key Responsibilities

Python Development

• Apply extensive Python expertise to build scalable and reliable solutions, employing advanced Object-Oriented Programming (OOP) methodologies.

AI/ML Implementation

• Utilize hands-on experience with core machine learning concepts such as forecasting, clustering, regression, classification, and optimization within Python environments.

Cloud & Data Engineering Tools

• Work with leading cloud platforms and data engineering tools, including Azure, Databricks, and MLflow. Orchestrate complex data workflows using Airflow or comparable tools.

MLOps & Automation

• Implement and maintain MLOps best practices for seamless model deployment, continuous monitoring, and efficient lifecycle management. Leverage containerization technologies like Docker for scalable application deployments.

Version Control & Collaboration

• Employ Git for effective version control, fostering efficient collaboration and streamlined code management within team settings.

Problem-Solving & Communication

• Exhibit strong problem-solving capabilities and initiative, adept at analyzing complex technical challenges and delivering impactful solutions.

Stakeholder Interaction

• Clearly articulate and present technical concepts to diverse audiences across the organization, through both verbal and written communication.

Qualifications

Education and Experience

• Bachelor's or Master's degree in Computer Science, Data Science, or a related technical field.
• Demonstrated experience in Python development, coupled with practical application in AI/ML and cloud-based implementations.

Skills and Abilities

• Proficiency in advanced Python and OOP principles.
• Solid understanding of AI/ML algorithms and end-to-end workflows.
• Experience with Azure, Databricks, MLflow, and Airflow.
• Knowledge of MLOps principles and Docker.
• Expertise in Git and collaborative development practices.
• Exceptional analytical and communication skills.
• Ability to effectively engage with both technical and non-technical stakeholders.