Data Scientist (18/791)

INFOLET SP. Z O.O.; Kraków; On-site; PLN 240,000 - 320,000; Full time

Job summary

A leading data solutions company is looking for an experienced Data Scientist in Kraków, Poland to develop and improve large-scale data and machine learning ecosystems. You will work on building Spark-based data pipelines, enhancing data quality processes, and implementing monitoring workflows for ML models. Candidates must have at least 5 years of experience, proficiency in PySpark and Python, and be fluent in Polish. This role offers a comprehensive benefits package, including medical care and a relocation package.

Benefits

Relocation package

Extended medical care

Multisport Benefit card

Life insurance

Qualifications

• 5+ years of experience required.
• Strong commercial experience with PySpark essential.
• Excellent knowledge of Python necessary.
• Solid SQL knowledge is a must.
• Experience with ML frameworks like scikit-learn is expected.
• Fluent Polish and good English language skills are required.

Responsibilities

• Develop Spark jobs for data ingestion and feature engineering.
• Build logic for model evaluation and automated deployment decisions.
• Enhance data quality metrics and monitoring coverage.
• Troubleshoot and fix code issues, including edge cases.
• Optimize performance and cost across algorithms and data structures.

Skills

PySpark

Python

Data analysis skills

GitHub

SQL

MLOps practices

Fluent Polish

Good English

Tools

Kubeflow

MLflow

scikit-learn

Pandas

Grafana

AWS services

Job description

We are looking for an experienced Data Scientist to support the development and continuous enhancement of a large-scale data and machine learning ecosystem used in next-generation automotive solutions.

The project involves building Spark-based data pipelines, improving data quality processes, implementing model evaluation workflows, and developing robust monitoring for ML models running in production.

The role includes both initial development of the platform components and long-term maintenance and optimization.

YOU WILL

Initial Development:

• Develop Spark jobs for data ingestion and feature engineering
• Build logic for model evaluation and automated deployment decisions
• Develop model monitoring with visualized KPIs and technical metrics

Further Development / Maintenance:

• Continuously extend data pipelines and feature engineering workflows
• Enhance data quality metrics and monitoring coverage
• Expand model monitoring logic and dashboards
• Troubleshoot and fix code issues, including edge cases
• Experiment with new ML algorithms and additional data attributes
• Optimize performance and cost (algorithms, data structures, storage formats)

MUST HAVE

• 5+ years of experience
• Strong commercial experience with PySpark
• Excellent knowledge of Python
• Practical experience with GitHub
• Strong data analysis skills (Jupyter, Seaborn, exploratory analytics)
• Solid SQL knowledge
• Experience with Kubeflow or MLflow (MLOps frameworks for training, deployment & monitoring)
• Understanding of MLOps practices, including continuous training
• Experience with ML frameworks: scikit-learn, Pandas, Optuna
• Ability to create Grafana dashboards
• General knowledge of AWS services (S3, IAM, etc.)
• In-depth understanding of statistics and machine learning (missing data, outliers, model validation, algorithms)
• Fluent Polish and good English

NICE TO HAVE

• Background in automotive or IoT data projects
• Experience with cost optimization for ML systems
• Experience with large-scale model deployment pipelines

OUR OFFER

• Relocation package (4500 PLN total value), paid in three installments (1500 PLN per month)
• Benefits: Extended medical care (over 2000 medical facilities in Poland, 80 in Kraków) for you and your family; Multisport Benefit card; Life insurance