Senior Data Scientist - Casablanca

Entreprise :

Thanks to our unique methods and 24 years of knowledge and experience, our clients can benefit from complementary sources of financing while remaining focused on their core business. Founded in Paris in 1997, Leyton is an international consulting firm dedicated to the economic, ecological and social development of all types of organizations.

Our consultants are technical experts who provide concrete solutions that contribute to our clients’ growth and development. Our 2200 employees, who are passionate about their jobs, are located in 32 offices across 13 countries, and share values such as team spirit, innovation and sustainable development.

Leyton Morocco is an international Center of Excellence which provides high added value support to the group in business and engineering services. Our talented resources and multilingual skills allow us to meet the needs of a wider customer base around the world and handle a complex processes. 

Poste :

Main Responsibilities:
• 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)
 

Profil recherché :

Qualifications:
• 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
Technical Skills:
• 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).
Behavioral Skills:
• Intellectual curiosity, initiative, proactivity.
• Organizational capacities.
• Autonomy, interpersonal skills, facilitator.
• Excellent written and oral communication skills.
 

Adresse :

Traits de personnalité souhaités :

Implication au travail Besoin d'autonomie Besoin de réflexion Ambition Recherche de nouveauté