Data Scientist

About Us ��������� The Big Picture

We are a next-generation consulting firm and offer a unique blend of AI and design capabilities, augmenting traditional consulting to deliver superior value to our clients.

We are a global firm that has grown steadily over the past 20 years with more than 30 offices across 20 countries.������

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Job Description

To support, our development in the Middle East, we are recruiting data scientist consultants.

Their vocation will be to take charge, in synergy with our different practices, of the work and missions requiring the implementation of complex models to support our clients address their business challenges related to:

������������������������������Machine learning and statistics: Development of explanatory and predictive decision-support models (directed and non-directed learning algorithms, econometrics, forecasting, quantitative diagnosis, etc.).

������trong>: assistance in the design and implementation of optimization solutions under constraints and simulation models.

������������������������������Big Data: algorithmic knowledge for processing large volumes of unstructured data.

Required qualifications:

������������������������������You have a training in Engineering School or a high-level training in the field of Data Science, statistical engineering, and econometrics, and you ideally justify a first experience in Big Data or Data Science (internship or 1st job).

������������������������������You have an excellent level in statistics and quantitative analysis (theoretical and practical knowledge, ease of understanding models and applying them).

������������������������������High capabilities in framing machine learning problems.

������������������������������Strong business acumen, as well as the ability to communicate findings, and mine vast amounts of data for ���������Kowledge of Power BI and/or Tableau

����������You want to get involved and quickly take responsibility for high added value missions within a dynamic structure.

����������You have the ability to work in a team, an open mind, a sense of analysis and you want to join a motivating professional environment where you share our values ������of excellence, entrepreneurship, innovation, the culture of sharing, benevolence, personal / professional life balance.

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Expertise in some or all of the following:

����������Data cleaning, manipulation and pre-processing, exploratory analysis, feature engineering and machine learning libraries��like pandas, numpy, scipy, regex, matplotlib, seaborn, statsmodels , scikit-learn, xgboost, and nltk, genism or spacy.Supervised Learning: Regression (simple, multivariate) and Classification (binary, multi-class, multi-label).

����������Unsupervised Learning: Clustering (customer segmentation, cluster and community detection) and Dimensionality Reduction (PCA, LDA, TruncatedSVD, NNMF, etc.).

������������������������������Recommender Systems: Collaborative Filtering, Content Based and Matrix Factorization Methods.

������������������������������Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.

������������������������������Natural Language Processing: Text Preprocessing (Arabic & English), Word2Vec, TF-IDF, Text Classification (binary, multi-class, muli-label), Topic Modeling (LDA, PLSA, Matrix Factorization Methods) and Text Similarity Scores.

������������������������������Computer Vision: Image Processing, Data Augmentation, Image Classification, Object Detection, and Semantic Segmentation.

������������������������������Deep Learning Frameworks like Pytorch, Tensor