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Data Scientist
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:
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Design, develop, and review machine learning models and advanced analytics solutions
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Apply statistical analysis and data mining techniques to extract meaningful insights from large datasets
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Ensure high standards in data preparation, feature engineering, model evaluation, documentation, and code quality
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Collaborate with cross-functional teams including data engineers, software engineers, product owners, and business stakeholders
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Present insights, analysis results, and recommendations to both technical and non-technical audiences
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Ensure adherence to best practices in data quality, model monitoring, version control, and reproducible analytics
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Contribute to the development of the department’s data science strategy and identify opportunities where data science can deliver business value
Main requirements:
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University degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or a related quantitative field
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At least 3 years of experience in data science, machine learning, or advanced analytics
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Strong programming skills in Python and experience with Pandas, NumPy, and similar data analysis libraries
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Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly
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Strong knowledge and exposure to Machine Learning
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Knowledge of Recommendation Systems will be considered a plus
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Solid understanding of statistics and data mining techniques
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Experience working with relational and non-relational databases
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Strong analytical thinking, problem-solving ability, and attention to detail
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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
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- Nikou Pattichi 59, Limassol 3070, Cyprus
- [email protected]
- +357 7000 8001
- Cyprus License Number: 510