Senior Data Scientist

Tech for People Unlocks the Future

At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us. With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human‑centric values to make a difference.

True innovation is born from a powerful culture, fused with meaningful values. At Devoteam, we always make fair decisions, listen, and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.

• Fair and courageous:
  Everyone is treated fairly – this fuels bravery.
• Ambition and results:
  Ambition is nurtured at every step – this drives results.
• Learning and innovating:
  Curiosity and learning are at our core – this stimulates innovation.
• Caring and sharing: A caring attitude is infused into our culture – this encourages sharing.

We care about our teams and want to work in a positive, productive environment. We support the development of talent and careers.

• Values:
• Respect
• Frankness
• Passion

Knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.

To know more about us, please visit:

As a Senior Data Scientist/Machine Learning Engineer at Devoteam, you will be responsible for developing, implementing, and optimizing advanced data‑driven algorithms, including classification, regression, recommender systems, and user segmentation models.

• Identifying relevant data sources for business needs.
• Processing, cleansing, and organizing data into usable formats.
• Conducting in‑depth research and analysis on large datasets to uncover hidden patterns, correlations, and trends.
• Applying data mining techniques such as association rule discovery, classification, and clustering.
• Conducting thorough EDA to understand underlying patterns, correlations, and anomalies.
• Transforming and preprocessing raw data to create meaningful features that can improve model performance.
• Developing, evaluating, and deploying predictive machine learning models to drive actionable insights.
• Communicating complex data findings in a clear and concise manner to non‑technical stakeholders.
• Staying up‑to‑date with the latest advancements in data science, machine learning, and industry best practices, continuously seeking opportunities to improve methodologies and processes.
• Mastery of programming languages like Python or R, expertise in data manipulation, machine learning algorithms, and statistical analysis.
• Data manipulation proficiency: working with large datasets, cleaning, preprocessing, and transforming data into usable formats.
• Machine learning expertise: selecting and implementing appropriate algorithms, model evaluation, hyper‑parameter tuning, handling bias and fairness issues.
• Building conversational AI applications.

• Bachelor’s degree in Computer Engineering, IT or equivalent.
• + 7 years experience within the data science field.
• Strong knowledge and proven experience in SQL, statistics, machine learning and programming.
• Expertise in supervised and unsupervised algorithms such as time‑series forecasting, regression, clustering, classification, and deep‑learning methods.
• Experience working with Agile methodologies.
• Ability to communicate with both technical and non‑technical audiences.
• Excellent English and Arabic communication skills (written & spoken).
• Analytical mindset and problem‑solving skills.
• Alteryx or Dataiku experience is a must.
• MLOps experience is a plus.
• Practical knowledge of big data systems is a plus.

• BU:
  Data Intelligence
• Seniority level:
  Mid‑Senior level
• Employment type:
  
  Full‑time
• Job function:
  Consulting
• Industries:
  Business Consulting and Services

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