Data Scientist
1 month ago
Requirements:
. At least 5 years of experience in predictive model development is required
bilingual preferable: English and Arab
Banking experience is a must
Substantial, expert Coding knowledge and experience in several languages: for example, [R, Python/Jupyter, SAS, Java, Scala, C++, Excel, MATLAB, etc.].
. Using one of the following modeling programs effectively; Python or R
. Good command of SQL
. Experience with operationalizing ML workflows using specialized MLOps frameworks such as Kubeflow, MLFlow, Liminal, Seldon Core, or general task orchestration frameworks such as AirFlow, Luigi, Argo and others. This may also include MLOps tools such as Domino Data Lab, IBM, TIBCO, Superwise.AI, Arthur.AI, Modzy, ModelOp and others.
. Substantial, expert Expertise in solving [vision, text analytics, credit scoring, failure prediction, propensity to buy] problems is [required, preferable].
. Knowledge and experience in statistical and data mining techniques: [generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.].
Contact:
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