Data Science Developer crafting scalable data pipelines and ML models in Python, leveraging SQL and AWS to drive media insights and audience engagement.
About the role
Key Responsibilities
Design, develop, and maintain robust data pipelines for large-scale media datasets using Python and SQL.
Build and deploy machine learning models to extract actionable insights on audience behavior and content performance.
Collaborate with cross-functional teams to translate business requirements into technical solutions.
Optimize data workflows and model performance on AWS infrastructure, ensuring reliability and scalability.
Document processes, maintain version control, and support continuous integration/continuous deployment (CI/CD) practices.
Requirements
Proven experience in Python programming and data manipulation libraries (pandas, NumPy).
Strong background in machine learning concepts and model deployment.
Hands‑on experience with SQL and relational database design.
Familiarity with AWS services (S3, Redshift, SageMaker, Lambda).
Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced environment.