Data Scientist - Knowledge Graph

If you're interested in this role at PAX, please send your CV and a cover letter (optional) that best expresses your interest and qualifications to

As a Data Scientist in our team, you possess deep experience developing knowledge graphs for specific purposes, a broad knowledge of Machine Learning and software development techniques to help design and implement a cutting-edge AI platform. You will focus on designing, implementing and maintaining various Deep Learning and Reinforcement Learning codes. You will work with a multidisciplinary team of smart people, including Product Managers, and Software Developers, to advance a state-of-the-art AI platform that can be applied to domains like Robotics, Optimization, Control, Anomaly detection and Machine Vision.

Who you are
  • You have in depth experience of Knowledge Graph, Semantic Web and Ontology (Reasoning).
  • You have an end-to-end hands-on ownership of ML features and various projects.
  • You create POCs focused on Deep Learning as well as other traditional approaches within Data Science.
  • You develop algorithms in key areas in Machine Learning.
  • You are a Team-Player working closely with other colleagues while maintaining a clear vision of the value of our diverse offerings.
  • You lead the path of value-driven AI features that are innovative and deployable to real customers.
  • You embrace the latest cutting-edge AI technologies.
  • You transform ambiguity into clarity.
  • You enjoy collaborating in a multicultural and diverse environment that expands to include various geographic locations and spans numerous cultures.
  • You have stellar communication skills, effectively expressing yourself. You convey and receive information in a clear, credible and consistent manner.
What you’ll need
  • BS or Master in Computer Science with experience in Deep Learning, Computer Vision and Machine Learning.
  • Expertise in graph database technologies, such as graph query language, query optimization and processing, graph data indexing and storage.
  • Experience with graph databases such as Neo4J.
  • Strong understanding of model architectures of Deep Neural Networks (Gradients, Activation Paths, Activation Functions, etc.).
  • Strong understanding of building blocks of statistics & probability (Covariance, Canonical Correlation, Markov Chains, Brownian Motion, Autocorrelation, Partial Autocorrelation, Bayesian optimisation, Hypothesis testing etc.).
  • Strong understanding of statistical learning techniques (Classification, Regression, Clustering, metrics, structured learning, probabilistic graphical models).
  • Fast prototyping skills, including comprehensive feature integration during all cycles of development.
  • Strong understanding of Databases and SQL.
  • Strong understanding of parallel processing using OpenMP.
  • Good business knowledge of Supply Chain(Domain).
  • Experience with C++, Python, Caffe, Torch and Tensorflow.
Bonus if you have
  • Experience with adversarial models within Deep Learning (especially Generative Adversarial Networks).
  • Understanding of systems analysis (Phase portraits, impulse response, filters, etc.).
  • Publications in top computer vision/deep learning conferences and journals.
  • Contribution to major deep/machine learning open source libraries.
  • Experience working in an Agile environment, CSD, CSM, SA, ASE.

If you're interested in this role at PAX, please send your CV and a cover letter (optional) that best expresses your interest and qualifications to


• Competitive Pay
• Annual Bonus Program
• Generous Paid Time Off
• Comprehensive Health Benefits
• Relocation Assistance
• Housing & Education Allowance
• Annual Return Ticket Home
• Learning & Development Program
• Casual Work Environment
• Plentiful snacks and refreshments
• Gym Access
• Visa Sponsorship


Abu Dhabi