About the role
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.
Text as published by XM Careers. We don't edit postings; apply and ask questions on the employer's site.