Data Scientist

About the Role

We are seeking a skilled Data Scientist to join our team. This role involves developing advanced AI/ML solutions and leveraging cloud technologies.

Key Responsibilities

• Python Development: Design and implement scalable Python applications using Object-Oriented Programming (OOP) principles.
• AI/ML Implementation: Apply machine learning techniques including forecasting, clustering, regression, classification, and optimization in Python.
• Cloud & Data Engineering: Utilize cloud platforms and tools such as Azure, Databricks, MLflow, and workflow orchestration with Airflow.
• MLOps & Automation: Implement MLOps practices for model deployment, monitoring, and lifecycle management, using Docker for containerization.
• Version Control: Employ Git for efficient code management and team collaboration.
• Problem-Solving: Analyze complex technical issues and deliver innovative solutions with initiative.
• Stakeholder Communication: Clearly articulate technical concepts to diverse audiences, both verbally and in writing.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Demonstrated experience in Python development, AI/ML, and cloud-based solutions.

Required Skills

• Proficiency in Python and OOP concepts.
• Expertise in AI/ML algorithms and workflows.
• Experience with Azure, Databricks, MLflow, and Airflow.
• Knowledge of MLOps and Docker.
• Familiarity with Git and collaborative development.
• Strong analytical and communication abilities.
• Capability to engage with both technical and non-technical stakeholders.