Data Science Engineer (AWS) (B2B)

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Description

Responsibilities Explore large datasets to understand patterns and answer business questions. Develop features and analytical workflows using Python and SQL. Build and maintain data pipelines on AWS. Apply statistical methods and, where appropriate, machine learning or AI techniques to solve business problems. Help bring analytical solutions into production and maintain existing workflows. Explain findings and document your work for technical and business stakeholders. Qualifications Bachelor’s or master’s degree in Computer Science, Engineering, IT, or a related field. 3+ years of professional experience as a Data Scientist, Data Engineering, or a role combining analytics and engineering. Strong Python skills, including libraries such as pandas, NumPy and scikit-learn Good SQL skills and experience working with data platforms. Solid understanding of statistics, data analysis, and feature engineering. g. S3, Glue, Athena, Lambda, SageMaker, Step Functions, Redshift, or EMR. Experience with ETL/ELT pipelines or orchestrating data workflows. Fluent English and Polish. Willingness to visit the Katowice office once per month and travel to the client’s office in Lisbon once per quarter. Nice to have : Experience with PySpark for distributed data processing. Experience developing or evaluating machine learning models. Familiarity with Git, CI/CD, Docker, or infrastructure-as-code. Customer-facing project experience. Develop yourself and

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