Senior Data Scientist
3 weeks ago
Devoteam is a leading consulting firm focused on digital strategy, tech platforms and cybersecurity. By combining creativity, tech and data insights, we empower our customers to transform their business and unlock the future.
With 25 years’ experience and more than 8,500 employees across Europe, the Middle East and Africa, Devoteam promotes responsible tech for people and works to create better change.
Creative tech for Better Change.
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
- 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.
- 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
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