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Data Science Manager

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: Mozn
Full Time position
Listed on 2025-12-02
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager, Data Analyst, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 200000 - 300000 SAR Yearly SAR 200000.00 300000.00 YEAR
Job Description & How to Apply Below

Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it’s working to realise 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 organisations, 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 seeking a Data Science Manager to join our team. In this leadership role, you will be responsible for guiding and developing a team of data scientists, driving the full lifecycle of model development, and ensuring delivery of high-quality, client-focused solutions across a range of business domains. You’ll work closely with internal teams and external clients, leading initiatives that encompass a broad spectrum of data science applications.

What you'll do

  • Lead and mentor a team of data scientists, overseeing all aspects of model development, evaluation, and deployment.
  • Own the data science project lifecycle—from ideation and experimentation to prototyping, productionization, and monitoring—ensuring delivery of impactful client solutions.
  • Collaborate with engineering, product teams, and clients to understand requirements, translate business problems into data-driven solutions, and communicate results.
  • Contribute to the design and improvement of data and software platforms, emphasizing scalable, reusable, and service-oriented solutions.
  • Keep the team up to date with emerging technologies and industry trends in data science, machine learning, and AI, supporting continuous learning and innovation.
  • Support business development efforts by engaging in client discussions, understanding client needs, and proposing data science solutions tailored to diverse domains.
  • Foster an inclusive, collaborative, and high-performance team culture, focused on excellence and client satisfaction.
  • Attract, develop, and retain top data science talent.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
  • 6+ years of relevant experience, with at least 4 years in data science leadership or management roles.
  • Proven experience developing and deploying data science solutions in production environments.
  • Broad knowledge of machine learning, statistical modeling, and data analysis.
  • Proficiency in Python and experience with frameworks such as PyTorch or Tensor Flow.
  • Experience working with large, real-world datasets (structured and unstructured).
  • Familiarity with scalable ML infrastructure, cloud computing, and distributed computing is a plus.
  • Strong client-facing communication skills; ability to translate technical concepts for business stakeholders.
  • Proficiency in Arabic is preferred.
  • Demonstrated ownership, collaboration, and commitment to excellence.
  • 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.
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