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Jobs/Data Scientist
XM
XMCurated· 11 OCT

Data Scientist

Limassol Hybrid FULL TIME

Skills & requirements

PythonNumPySQL

About the role

About the Role

We are seeking an experienced Data Scientist to join our Data Science department. This is a hands-on position focused on designing, developing, and deploying advanced analytics and machine learning solutions that drive business impact.

Key Responsibilities

  • 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

  • Manage data preparation, feature engineering, model evaluation, and ensure code quality and documentation

  • Collaborate with data engineers, software engineers, product owners, and business stakeholders

  • Present analytical findings 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 departmental data science strategy and identify opportunities for delivering business value

Requirements

  • University degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or related quantitative field

  • At least 3 years of experience in data science, machine learning, or advanced analytics

  • Strong programming skills in Python with experience in Pandas, NumPy, and similar libraries

  • Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly

  • Strong knowledge of machine learning techniques and solid understanding of statistics

  • Experience with relational and non-relational databases

  • Strong analytical thinking, problem-solving ability, and attention to detail

  • Excellent communication and collaborative team skills

Knowledge of Recommendation Systems is considered a plus. The role offers an attractive remuneration package, private health insurance, corporate pension fund, and continuous professional development opportunities.

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