Data Science Engineer (AWS)

Data Reply, part of the Reply group, supports customers across various industries in becoming data driven. They specialize in transformation projects aiming at "data-driven companies," focusing on developing data platforms, machine learning solutions, and streaming applications that are automated, efficient, scalable, and secure.

• Bachelor’s or master’s degree in Computer Science, Engineering, IT, or related field.
• At least 3 years of professional experience as a Data Scientist, Data Engineering, or hybrid analytics role.
• Strong Python skills, including pandas, NumPy, and scikit-learn.
• Good SQL skills and experience with data platforms.
• Solid understanding of statistics, data analysis, and feature engineering.
• Hands-on experience with AWS data services like S3, Glue, Athena, Lambda, SageMaker, Step Functions, Redshift, or EMR.
• Experience with ETL/ELT pipelines, orchestration, or data workflows.
• Fluent in English and Polish.
• Willingness for monthly office visits in Katowice and travel to client office in Lisbon.

Nice to have:

• Experience with ML model development or evaluation.
• Knowledge of Git, CI/CD, Docker, and infrastructure-as-code.
• Customer-facing project experience.

• Explore, analyze, and interpret large datasets.
• Develop features, analytical logic, and data science workflows.
• Build and maintain data pipelines on AWS.
• Apply statistical methods and machine learning where useful.
• Support the operationalization of analytical solutions.
• Collaborate with engineering and platform teams.
• Document and present results to business and technical stakeholders.