Data Scientist

Data Scientist

Required Qualifications:

Educational Background:

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.

Technical Skills:

Strong experience with Azure cloud platform services, including Azure Databricks, Azure Synapse Analytics, Azure Data Factory, Azure SQL Database, and Azure Blob Storage.

Proficiency in Apache Spark for large-scale data processing.

Hands-on experience with Databricks for building and deploying machine learning models and data pipelines.

Expertise in programming languages such as Python and Scala .

Experience with SQL and other database management systems (e.g., Azure SQL, PostgreSQL, etc.).

Familiarity with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, and XGBoost.

Cloud & DevOps Skills:

Knowledge of Azure DevOps for CI/CD pipelines and version control.

Experience with containerization and orchestration tools like Docker and Kubernetes (optional).

Soft Skills:

Strong problem-solving abilities and analytical thinking.

Excellent communication and collaboration skills, with the ability to present complex data concepts to non-technical stakeholders.

Proactive, self-driven, and able to manage competing priorities.

Preferred Qualifications

• Experience in Big Data Analytics and processing in a cloud environment.

• Familiarity with Azure Machine Learning for model deployment and management.

• Certifications in Azure (e.g., Azure Data Engineer, Azure AI Engineer) are a plus.

• Knowledge of DevOps practices for data science workflows.