Senior Data Scientist | Casablanca (Maroc)
- Casablanca
- CDI
- Temps-plein
- Support for the realization of various Data Science projects and participation in the success of our customers in many sectors of activity (health, industries, communications, financial services, etc.).
- Frame and formalize the client's needs, expressed or not.
- Seek the most appropriate scientific approach to the problem.
- Participate in the automatic extraction and management of massive data, structured or not.
- Perform statistical analyzes and transform data.
- Build predictive models and evaluate their performance.
- Contribute to the production of algorithms, to the industrialization of developments.
- Restore and enhance its results with data visualization tools.
- Participation in the animation of the collaborator's domain (events, presentations, etc.) and in the development strategy of the team.
- Identify the needs and the problems of the business departments.
- Define a statistical model which makes it possible to answer the problem.
- Build analysis tools to collect company data.
- Source and gather all the sources of structured or unstructured data necessary for the analysis.
- Organize, study and synthesize these data sources in the form of exploitable results.
- Construction of algorithms to improve search and targeting results.
- Development of predictive models in order to anticipate the evolution of data and trends relating to the company's activity.
- Model behaviors and extract new user uses.
- Contribute to the production of algorithms, to the industrialization of developments.
- Be responsible for the solutions delivered and their compliance with customer expectations.
- Contribute to technological watch on Data Science and Big Data subjects and supervise less experienced employees (juniors and interns)
- Master’s degree in engineering or Doctor specialized in statistical analysis and computer programming or from a university with a major in Data Science, Statistics or Applied Mathematics.
- Would be a plus: Certifications in Statistics / Big Data / Machine Learning.
- 4+ years of experience in the same position.
- Fluent in French & English
- Knowledge of statistics and machine learning.
- Mastery of analytical modeling tools, Decision Trees and Neural Networks (Logistic, Linear Regression, etc.) and Feature Engineering.
- Mastery of Technologies and Models: XGBoost, TensorFlow, Random Forest, SVM, etc.
- Ability to produce supervised and unsupervised models.
- Master of SMOTE “the Synthetic Minority Over-sampling Technique”.
- Ability to analyze and extract insights from structured (in-depth knowledge of SQL) and unstructured data.
- Be able to present the results of the models: lift curve, Roc-AUC, F1 Score, Recall, Accuracy, Confusion Matrix, etc.
- Understanding of linear algebra and statistics.
- Development experience to extract and query data (Python, R, Spark, Java).
- Intellectual curiosity, initiative, proactivity.
- Organizational capacities.
- Autonomy, interpersonal skills, facilitator.
- Excellent written and oral communication skills.
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