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. Company Description

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.

Devoteam Culture & Values :

True innovation is born from a powerful culture, fused with meaningful values. Culture : Fair and courageous Everyone is treated fairly – this fuels bravery. At Devoteam, we always make fair decisions. We 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. Ambition and results Ambition is nurtured at every step – this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint. Learning and innovating Curiosity and learning are at our core – this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence. Caring and sharing A caring attitude is infused into our culture – this encourages sharing. We believe in the power of teams, we promote support and collaboration. We support the development of talent and careers. Values : 1. Respect 2. Frankness 3. Passion Knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.

Job Description

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. You will collaborate with cross-functional teams to identify opportunities for improvement and deliver impactful insights that drive business success.

Key responsibilities :

Identifying relevant data sources for business needs. Processing, cleansing, and organizing data into usable formats. Conduct in-depth research and analysis on large datasets to uncover hidden patterns, correlations, and trends. Apply data mining techniques such as association rule discovery, classification, and clustering. Conduct thorough EDA to understand underlying patterns, correlations, and anomalies in complex datasets. Transform and preprocess raw data to create meaningful features that can improve model performance. Develop, evaluate, and deploy predictive machine learning models to drive actionable insights. Communicate complex data findings in a clear and concise manner to non-technical stakeholders. Stay up-to-date with the latest advancements in data science, machine learning, and industry best practices, continuously seeking opportunities to improve methodologies and processes. Build conversational AI applications.

Advanced Technical Skills :

Mastery of programming languages like Python or R, expertise in data manipulation, machine learning algorithms, and statistical analysis. Proficiency in working with large datasets, data cleaning, preprocessing, and transforming data into usable formats. Experience in selecting and implementing appropriate machine learning algorithms, model evaluation, hyperparameter tuning, and dealing with bias and fairness issues.

Qualifications Bachelor’s degree in Computer Engineering, IT or equivalent. 7+ years of experience within the data science field. Strong knowledge and proven experience in SQL, statistics, machine learning, and programming. Strong expertise in various supervised and unsupervised machine learning 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.

Additional Information BU : Data Intelligence Seniority level :

Mid-Senior level Employment type :

Full-time Job function :

Consulting Industries :

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