Data Scientist

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

All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.