Data Science Engineer (43533)

I’m looking for an experienced Data Scientist / Data Analyst to join a project focused on large-scale data processing, advanced analytics, and machine learning. You’ll work with large volumes of data, design data models, define analytical requirements, and turn complex datasets into actionable business insights. You’ll use Python, AWS, Snowflake, SQL and machine learning techniques such as Random Forests, SVM, Logistic Regression or Neural Networks. If you have 5+ years of experience and enjoy connecting data, technology and business, get in touch and I’ll share more details.

🚀 Project
- directing data mining, data gathering and data processing in large volume; creating appropriate data models
- exploring, promoting and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques
- defining requirements and scope of data analyses; presenting and reporting business insights to colleagues/management using data visualization technologies
- evaluating and conducting research on data model optimization and algorithms to improve effectiveness and accuracy of data analyses
- determining the root cause of organizational problems and creating alternative solutions that resolve these problems

🎯 Skills
- minimum 5 years of experience in the position/sector
- proven experience with Python (NumPy, SciPy, Pandas, etc.)
- experience with AWS services, Cloud ELT/ETL, Snowflake, SQL
- working knowledge and practical experience with Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks
- strong knowledge of end-to-end data lifecycle across traditional data warehouses, relational databases, operational data stores, business intelligence reporting, as well as data fabrics, data mesh and data lake house
- strong understanding of data governance, metadata management, data quality, data modeling and data architecture concepts
- experience with quantitative analysis / data management (data design, data quality, metadata, governance)
- knowledge of data technology products and components for Big Data and Cloud (AWS, Data Lakes and similar)
- knowledge of data management systems; ability to search, extract and format data for further use
- ability to clearly communicate complex technical ideas regardless of the technical capacity of the audience
- english B2