• Leading/taking part in the different projects depending on the clients need and developing internal Data Science expertise within the CTO office
  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Using modern approaches to Data analysis and visualizations that provides business problems solutions


  • Advanced working proficiency in languages relevant to modern analytics / data science / big data, such as Python, Ruby, R, SaS, Scala, Java, Matlab,… Preferable will be R and python
  • Very good to advanced working proficiency in one language relevant to modern analytics / data science / big data, such as Python, Ruby, R, SaS, Scala, Java, Matlab
  • Experience in data modeling / analysis in small and big data contexts
  • Experience in distributed computing / database contexts (e.g., mapreduce in Hadoop environment)
  • Understanding of true model validation, p-value and equivalent
  • Experience in business context
  • Previous experience of data processing that produced positive, measurable business outcome
  • Strong experience in SQL
  • Hands on experience with noSQL databases
  • Understanding of true model validation, p-value and equivalents, understanding of technique-independent concepts (e.g., curse of dimensionality, bias-variance trade off, ensembling, etc.)
  • Solid understanding of basics in probability and statistics
  • Good knowledge and exposure to AI, machine learning or non-parametric concepts

Personal skills:

  • Working well autonomously, without close supervision, readiness to take responsibility
  • Acting as a Team player and having highly developed communication skills, both toward co-programmers and project manager
  • Being committed to timely delivery of quality results
  • Innovative in his/her work
  • Knowledge seeking, updated with regards to latest SDK and technological directions in general
  • Documenting his code and general functionality


  • Graduate in quantitative scientific, engineering and/or mathematical discipline (Mathematics generally, Statistics/Probability, Physics, Electrical Engineering, Experimental Psychology, Chemistry, etc.) –– demonstrable deep knowledge in quantitative principles
  • Significant experience working closely with business subject matter experts (SME) to achieve business outcomes
  • Experience in contributing to data monetization strategy
  • Ability to appreciate business questions, not just the science
  • Have generated significant IP (internal/proprietary, patents, academic or business journal publications)
  • Track record in innovation / expertise is data engineering
  • Some experience managing at least 3 people for any given project
  • Comfortable with significant travel when needed
  • Personable / experience with direct customer interactions
  • Very entrepreneurial by nature, experience in startup culture including working on an onshore/offshore model

You will get:

  • Career growth opportunities
  • Friendly collaborative teams and enjoyable working environment
  • Professional skills development and training programs
  • Variety of knowledge sharing, training and self-development opportunities
  • State of the art, cool, centrally located offices with warm atmosphere which creates really good working conditions