onsite
Data Scientist Engineer - Hays Professional Solutions GmbH
Data Scientist
Lead end‑to‑end data science projects, building scalable ML pipelines on AWS, leveraging Python, SQL, and Spark to extract insights and drive business decisions.
About the role
Key Responsibilities
- Design, develop, and deploy production‑ready machine learning models using Python and Spark on AWS infrastructure.
- Collaborate with data engineers to build robust data pipelines, ensuring data quality and accessibility.
- Perform exploratory data analysis, feature engineering, and model evaluation to solve complex business problems.
- Document model logic, performance metrics, and deployment procedures for reproducibility.
- Mentor junior team members and share best practices in data science and engineering.
Requirements
- Strong programming skills in Python and experience with ML libraries (scikit‑learn, TensorFlow, PyTorch).
- Proficiency in SQL and experience with large‑scale data processing frameworks such as Spark.
- Hands‑on experience deploying models on AWS services (SageMaker, Lambda, ECS).
- Solid understanding of data engineering concepts: ETL, data warehousing, and data lake architectures.
- Excellent analytical, problem‑solving, and communication skills.
Skills
pythonmachine learningsqlaws