Position: Data Scientist with Data/ML engineering (Saudi Arabia)
Company: Art2Hire
Experience required: 5y
English level: upper

It`s a deep tech AI company with a wide range of capabilities that address various industry challenges. The company was founded by a group of technology enthusiasts, engineers, computer scientists, and business experts based on several years of research and with a proven track record of developing solutions for organizations. 
The company provides Location Intelligence technologies through unique products and tailored solutions that utilize AI and advanced analytics to extract insights from geospatial data to drive business growth. 

**About your role:**

The ideal candidate is passionate about working with data. You will leverage your strong programming skills to create production-ready code to extract valuable insights from highly complex data sets. 

**Responsibilities:**

-Analyze raw data: assessing quality, cleansing, structuring for downstream processing 
-Design accurate and scalable prediction/classification algorithms 
-Develop, test and validate production-ready machine learning pipelines 
-Integrate with other software products (e.g. interactive platforms) 

**Requirements:**

-Bachelor's degree minimum with equivalent experience in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) 
-10+ of experience in quantitative analytics or data modeling 
-Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms 
-Experienced in Python and standard machine learning libraries (Scikit-Learn, TensorFlow and PyTorch) 
-English - Intermediate+

**Company support:**

-Guidance in the visa process 
-Guidance in the relocation process (from travel to requirements, and even 
guidelines/recommendations) 
-Assistance in housing and living arrangements. 

Full time employment and the company is responsible on local fees and taxes
Performance review: every 6 months
Will be 2 interview stage.