Principal Data Scientist

About Mozn

Mozn is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it’s working to realize Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organizations, as well as many large corporations and startups.

We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.

About The Role

We are searching for a strategic and inquisitive Principal Data Scientist. As a member of Mozn’s Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project/product in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.

What You'll Do

• Work with Mozn’s Leadership, Product, Business, and Engineering teams to enable insights and intelligent decision-making across products and projects.
• Function as a technical leader, providing directions, guidelines and mentorship to data scientists of all levels at Osos.
• Advance core as well as applied R&D fronts at Osos through solid scientific research.
• Work with large and complex data sets to solve difficult, non-routine analysis problems using a combination of statistical and machine learning approaches.
• Develop quality control and pre-processing tools for a variety of data streams.
• Communicate highly technical results and methods clearly, as well as, interact with a wide variety of external clients.
• Staying informed about developments in Data Science and adjacent fields to ensure that modern yet optimal approaches are applied to the relevant problems.
• Performs other related duties as required.
  
  

Qualifications

• Master’s degree or higher in Statistics, Mathematics, Computer Science, or other scientific fields.
• 10+ years of experience developing AI solutions.
• Solid understanding of Machine Learning and Artificial Intelligence Foundations, e.g. Statistical Learning Theory, Linear Algebra & MVC, Continuous Optimization, etc.
• An understanding of how to build and implement commercial NLP solutions that are used in production environments.
• Artificial intelligence, natural language processing, data science, visualization, and simulation.
• A working knowledge of Transformers.
• Demonstrated expertise in NLP techniques and algorithms, including text classification, entity recognition, sentiment analysis, and language generation.
• Proficiency in building NN systems with PyTorch, TensorFlow, and/or Keras.
• Proficiency in Python programming at the intermediate to advanced level.
• Understanding of search technologies and experience with implementing search functionality.
• Working Knowledge of Computational Linguistics.
• Working knowledge of Knowledge bases and Knowledge Graphs.
  
  

Benefits

Why Mozn?

• You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
• You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
• The fundamentals will be taken care of competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best.
• You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
• We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.