The Role:
We are looking for an experienced Data Scientist to join our Data Science department. In this role, you will work hands-on on advanced analytics and machine learning projects, leveraging large datasets to build impactful, production-ready solutions.
Ideal for someone who enjoys solving complex problems, building models end-to-end, and driving data-driven decision-making
The main responsibilities of the position include:
-
Design, develop, and review machine learning models and advanced analytics solutions
-
Apply statistical analysis and data mining techniques to extract meaningful insights from large datasets
-
Ensure high standards in data preparation, feature engineering, model evaluation, documentation, and code quality
-
Collaborate with cross-functional teams including data engineers, software engineers, product owners, and business stakeholders
-
Present insights, analysis results, and recommendations to both technical and non-technical audiences
-
Ensure adherence to best practices in data quality, model monitoring, version control, and reproducible analytics
-
Contribute to the development of the department’s data science strategy and identify opportunities where data science can deliver business value
Main requirements:
-
University degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or a related quantitative field
-
At least 3 years of experience in data science, machine learning, or advanced analytics
-
Strong programming skills in Python and experience with Pandas, NumPy, and similar data analysis libraries
-
Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly
-
Strong knowledge and exposure to Machine Learning
-
Knowledge of Recommendation Systems will be considered a plus
-
Solid understanding of statistics and data mining techniques
-
Experience working with relational and non-relational databases
-
Strong analytical thinking, problem-solving ability, and attention to detail
-
Excellent communication skills and the ability to work collaboratively in a team environment
Benefit from:
- Attractive remuneration package
- Private health insurance
- Corporate pension fund
- Intellectually stimulating work environment
- Continuous personal development and international training opportunities
The Hiring Experience: What Awaits You
- Let’s Connect – Intro Chat with Talent Acquisition
- Deep Dive – First Interview with Your Future Team
- Bring It to Life – Role-Specific Take-Home Task
- Final Connection – Final Interview