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R&D Data Engineer

Job Title: R&D Data Engineer

Job Status: One Year Contract Position (renewable based on mutual interest)

Target Start Date: Immediately

The Qatar Mobility Innovations Center (QMIC), invites applications for R&D Data Engineer to join our technology & applied research department.

 

 

 

JOB RESPONSABILITIES:

The main responsibilities of the R&D Data Engineer include but not limited to:

  • Undertaking data collection, preprocessing and analysis
  • Assessing the effectiveness and accuracy of new data sources and data gathering techniques
  • Building models to address business problems
  • Designing and implementing deep-learning pipelines and machine-learning algorithms
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Presenting information using data visualization techniques
  • Preparing demonstrations of end-to-end data-based systems showing their features and benefits
  • Contributing in delivering data-driven products to clients
  • Collaborating with business, engineering and product development teams

 

 

 

JOB QUALIFICATIONS:

The applicant should hold a BSc/MSc/PhD in Computer Science, Data Science, Applied Mathematics, or Computer/Electrical Engineering. He/she should have the following skills:

  • At least 2 years of relevant experience in data science/analytics R&D projects
  • An Msc or PhD is preferred
  • Very good knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
  • Experience with some of distributed data/computing tools: Hadoop, Spark, Flink, Storm, Cassandra, MySQL, etc.
  • Strong Knowledge of neutral networks-based architectures: CNN, RNN, GAN, RL, etc.
  • Knowledge of Deep learning frameworks: Tensorflow, Keras, PyTorch, etc.
  • Previous experience in applying deep learning techniques for at least two different types of data (structured data, text, images, videos, speech/audio, etc.) is an important asset
  • Solid hands-on experience in development, debugging, and troubleshooting software and systems
  • Previous experience with some data visualization frameworks and tools: Tableau, D3.js, Google charts, etc.
  • Knowledge of R programming, Tidyverse packages, and Shiny
  • Knowledge and experience in Python to manipulate data and draw insights from large data sets and build data models
  • Familiarity with Scala, Java, C, or C++ is an asset
  • Knowledge of geospatial analytics is beneficial
  • Prior industrial experience is an asset
  • Ability to work independently
  • Strong problem-solving skills with an emphasis on product development
  • Excellent written and verbal communication skills for coordinating across teams

 

 

 

EMPLOYEMENT DETAILS:

The position is available immediately. Interested candidates are invited to send a detailed CV (including the names of at least three referees), graduate studies transcript of records, and a cover letter to jobs@qmic.com and cc filali@qmic.com. Please make sure to write in the subject of the email “R&D Data Engineer”.

Review of applications will begin immediately and will continue until the position is filled. Only shortlisted candidates will be contacted for interview.

 

 

 

 

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