Data Science Manager Job at Mozn, Saudi Arabia

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  • Mozn
  • Saudi Arabia

Job Description

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. 

We are looking for a Data Science Manager who will be responsible for managing a team of data scientists and collaborating with various departments within Mozn to implement data-driven strategies. This role will be responsible for overseeing the entire data science pipeline, from data collection to model building and deployment. 

As a Data Science Manager, your daily workload might include: 

  • Manage a high-performing team of data scientists  

  • Oversee and report on the daily operations of data science activities  

  • Work with Mozn’s Leadership, Product, Business, and Engineering teams to enable insights and intelligent decision-making across products and projects. 

  • Research, design, guide, implement, and deploy Machine Learning algorithms 

  • 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. 

Requirements

Our target profile is candidates with...

  • BS in Computer Science, Artificial Intelligence, Optimization, Econometrics, Operational Research, or equivalent 

  • MS or Ph.D. in Computer Science, Artificial Intelligence, Optimization, Econometrics, Operational Research, or equivalent is preferred 

  • 8+ years of relevant work experience applying machine learning at large scales 

  • Experience managing people 

  • Experience articulating business questions and using mathematical techniques to arrive at an answer using data and models. 

  • Demonstrated skills in selecting the right statistical/machine learning tool given a data analysis problem. 

  • Demonstrated experience in extracting actionable insight from quantitative data. 

  • Excellent business and technical communication skills, and an ability to independently prioritize your workloads to achieve a common goal. 

  • A strong bias to action — you are excited to learn and do new things as required to create tangible impact. 

  • General programming proficiency, with an emphasis on Python/R/SAS/SQL. 

  • Knowledge of version control and peer review systems/workflows. 

  • Knowledge of deploying algorithmic systems in an operational environment. 

  • General knowledge of software development frameworks, and how they interact across the stack. 

  • Comfort with command-line interfaces, as well as working familiarity with cloud computing resources. 

Benefits

Why Mozn? 

  • You will be at the forefront of an exciting time for the Middle East, joining an incredibly exciting technology company in the region. 

  • 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. 

  • You will enjoy flexible working conditions and a generous compensation package (including top-tier health insurance) that is aligned with individual and company performance.  

Job Tags

Work experience placement, Flexible hours,

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