Description

You will design and implement data models, ETL processes, and machine learning solutions to drive business decisions.

Responsibilities

• Design and implement ETL processes to extract, transform, and load data from various sources.
• Develop and maintain machine learning models to identify patterns and trends in large datasets.
• Monitor and improve the performance of existing models and data pipelines.
• Communicate complex data findings and insights to non-technical stakeholders.
• Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.

Required Skills

• 4+ years of experience in data science or analytics roles.
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• Strong proficiency in SQL and experience with data warehousing.
• Experience with programming languages such as Python, R, or Java.
• Familiarity with machine learning tools and libraries such as TensorFlow, Keras, or scikit-learn.
• Proficiency in cloud-based data platforms such as AWS, Azure, or Google Cloud.
• Knowledge of data modeling and database design principles.

Preferred Skills

• Experience with AWS SageMaker and AzureML Studio.
• Experience with data visualization tools such as Tableau or Power BI.

Key Skills

Education

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