- 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.
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.
At Devoteam, 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: www.devoteam.com
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 Organising 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.
- Advanced Technical Skills: Mastery of programming languages like Python or R, expertise in data manipulation, machine learning algorithms, and statistical analysis.
- Data Manipulation:** Proficiency in working with large datasets, data cleaning, preprocessing, and transforming data into usable formats.
- Machine Learning Expertise:** Experience in selecting and implementing appropriate machine learning algorithms, model evaluation, hyperparameter tuning, and dealing with bias and fairness issues.
Build conversational AI applications.
Bachelor’s degree in Computer Engineering, IT or equivalent
- 7 year experience within the data science field.
Has a strong knowledge and proven experience in following areas: 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
BU: Data Intelligence
Senio Level