Strong expertise in classical ML pipelines , including hands-on experience in model lifecycle management.
Proficiency in feature engineering techniques and experience with models such as:
XGBoost , LightGBM , MLP , Autoencoders , etc.
Advanced SQL skills (both in standard language and through Python APIs, e.g., PySpark , pandas ).
Knowledge of Apache Spark will be highly appreciated.
You are detail-oriented , diligent , and an excellent communicator .
Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.
We are seeking a Data Science Specialist who will play a key role in supporting our ML team. You will work on developing and validating advanced models, performing feature engineering, and ensuring data quality for analytics initiatives.
If you are passionate about Machine Learning , love turning complex data into actionable insights, and want to be part of a highly collaborative team - this role is for you.
Sounds like your kind of challenge?
#LI - Hybrid: 8x/msc from the office in Kraków
What you get in return
Flexible cooperation model
Hybrid work setup – 8x/msc from the office in Kraków
Collaborative team culture – work alongside experienced professionals eager to share knowledge
Continuous development – access to training platforms and growth opportunities
Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
High quality equipment – laptop and essential software provided
... recruitment process. Experience: 4–5 years in data quality, data governance, data management, or data migration., Education: Bachelor’s in Computer Science, Data Science, Information Systems, Business, or related., Working with data: proficiency in SQL, spreadsheets, and reporting/BI; bonus points for hands-on with metadata ...
... Note: Detailed project information will be shared during the recruitment process. Our requirements - Experience: 4–5 years in data quality, data governance, data management, or data migration. - Education: Bachelor’s in Computer Science, Data Science, Information Systems, Business, or related. - Working with data: proficiency ...
- Proven experience with data protection products , ideally at least two from: Symantec DLP, CASB, Microsoft Information Protection (MIP), Data Insight, Proofpoint . - Experience with anonymization tools such as Privitar, Delphix, CA TDM , or scripting for data masking. - Strong knowledge of data protection policies, governance, ...
... Estimate effort, manage priorities, report progress and risks, and work independently within the agreed architecture and platform guardrails. - Work closely with Data Analysts, Data Scientists, Snowflake Developers, Data Engineers, Power BI/Fabric Developers, platform specialists and domain experts. - Document solution logic, ...
... will be shared during the recruitment process. Our requirements - Bachelor’s degree in Computer Science, Engineering, or related field - Proven experience as a Data Engineer or similar role - Strong knowledge of data processing technologies and database systems (SQL, NoSQL) - Experience with data pipeline and workflow management ...
... requirements - 5+ years of experience in data engineering or a related field, with a strong focus on ETL and cloud data tools - Bachelor's degree in Computer Science, Engineering or a related field (Master's preferred) - Certifications: Microsoft Certified Azure Data Engineer and Databricks Certified Data Engineer - Proficiency ...
... professionally with internal and external stakeholders Extensive experience in model risk management, model governance and model validation, A strong background in data science, statistics and quantitative methods, Experience in academic or technical writing, especially model documentation, An advanced degree in a quantitative ...
... professionally with internal and external stakeholders Extensive experience in model risk management, model governance and model validation, A strong background in data science, statistics and quantitative methods, Experience in academic or technical writing, especially model documentation, An advanced degree in a quantitative ...
... professionally with internal and external stakeholders Extensive experience in model risk management, model governance and model validation, A strong background in data science, statistics and quantitative methods, Experience in academic or technical writing, especially model documentation, An advanced degree in a quantitative ...
... professionally with internal and external stakeholders Extensive experience in model risk management, model governance and model validation, A strong background in data science, statistics and quantitative methods, Experience in academic or technical writing, especially model documentation, An advanced degree in a quantitative ...