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Data Scientist

Data Scientist at Xm — Limassol. 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...

Job Full source details
Xm Limassol Verified 11 minutes ago
✓ 100% verification score · Source: Xm Careers (Lever) · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
EmploymentFull-time
DepartmentData Science and Business Intelligence

Overview

Data Scientist at Xm — Limassol. 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.

Full job description

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!

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Verification notes

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