Position: Data Scientist (Dubai, UAE, with relocation assistance)
Company: ASPIRE MENA
Experience required: 5y

Data Scientist 

Job Overview
We are looking for a Data Scientist who will support the development of our products providing AI tools to automate specific processes and implement smart solutions to business challenges.

The ideal candidate is adept at using large and heterogeneous (text, audio, images, video) data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. 

Responsibilities for Data Scientist
•	Mine and analyze data from company or public databases to drive optimization and improvement of product development
•	Assess the effectiveness and accuracy of new data sources and data gathering techniques
•	Develop custom ML models and algorithms to apply to data sets (text, audio, image, video)
•	Create and maintain optimal data pipeline architecture for training, evaluating and fine-tuning ML models
•	Coordinate with different functional teams to implement models and monitor outcomes
•	Work according MLOps processes and tools to monitor and analyze model performance and data accuracy
Qualifications for Data Scientist
•	Strong problem solving skills with an emphasis on product development
•	Knowledge of a variety of machine learning and deep learning techniques (clustering, decision tree learning, artificial neural networks, Convolution Neural Network (CNN), etc.) applied on computer vision and audio analysis to derive meaningful information from digital images, videos and audio inputs
•	NLP: sentiment analysis, stemming, tokenization, lemmatization, bag of words algorithm, embeddings
•	Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
•	Experience using statistical computer languages (Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
•	Experience working with and creating data architectures
•	Excellent written and verbal communication skills for coordinating across teams.
•	A drive to learn and master new technologies and techniques
•	We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
•	Experience creating and using advanced Machine Learning and Deep Learning algorithms
•	Experience using Machine Learning and Deep Learning development frameworks (Tensorflow, PyTorch) and libraries (Sklearn, Numpy..)
•	Coding knowledge and experience with Python
•	Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
•	Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
•	Experience with distributed data/computing tools: Spark, Hadoop, Hive,  MySQL, etc.