Data Scientist

About Mozn

About The Role

• We are searching for a strategic and inquisitive 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.
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• Work with cross-functional teammates from engineering, products, business, and marketing to deliver data-powered solutions.
• Communicate highly technical results and methods clearly to a wide variety of external clients.
• Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.
• Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions.
• Develop data pipelines and ingestion engines for Natural Language Understanding and/or Risk Management; as well as contribute to current engines at Mozn.
• Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.
• Plan and execute solutions' development from data gathering to intelligent decision making.
• Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity.

Qualifications

• B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields.
• 3-5 years of Relevant experience as a data scientist, or similar fields that require developing ML/AI models. Over 2 years for B.S. degree and over 1 year for M.S.
• Programming experience over two years in object oriented programming, including data manipulation using Python or other languages.
• Good understanding of statistics and probability, such as Bayesian methods and conditional probability.
• Applied experience in machine learning, such as conducting model experiments.
• Experience in version control systems, such as Git, GitHub.
• Programming experience in SQL or NoSQL is preferred.
• Familiarity with big data technologies, such as Spark.
• Experience in deep learning frameworks, such as PyTorch.
• Expertise in Natural Language Understanding and/or Risk Management applications.
• Familiarity with containerization frameworks, such as Docker.
• Research experience in optimization and natural language processing (NLP).

Benefits

• 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.