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Data Science Manager

Different Technologies Pty Ltd.

Riyadh

On-site

USD 60,000 - 120,000

Full time

8 days ago

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Job summary

A leading technology company is seeking an experienced Data Science leader to drive innovative AI solutions in mapping and navigation. This role requires a deep understanding of data science, excellent leadership skills, and a passion for transforming user experiences through advanced technology. You will work to scale teams and deliver impactful projects while fostering collaboration within the tech ecosystem in the MENA region.

Qualifications

  • 8+ years of professional experience in data science and machine learning.
  • Strong ability to build, manage, and scale data science teams.
  • Track record of delivering impactful AI solutions.

Responsibilities

  • Develop vision and leadership for mapping and location-based intelligence.
  • Define roadmap for data science teams aligning with business goals.
  • Lead a distributed Data Science team across multiple domains.

Skills

Data Science
Machine Learning
AI Solutions
Leadership
Collaboration
Critical Thinking
Project Management

Education

Advanced degree in computer science, statistics, economics, or mathematics

Job description

About the team:

Hudhud Maps Data Science team’s mission is to harness the power of data to build intelligent solutions that elevate the user experience, optimize decision-making, and improve operational efficiencies. As a leader in this team, you will be at the forefront of using cutting-edge AI and machine learning models to solve complex challenges in the MENA region. You’ll work with and hire some of the brightest data science talent, leveraging state-of-the-art technologies such as machine learning, optimization, deep learning, and NLP to transform how cities are mapped and navigated, all while driving real-time impact through our in-house AI and data infrastructure.

What you will do:

  • Develop a vision and thought leadership in the space of mapping and location-based intelligence, gaining deep expertise in this domain.
  • Define a clear roadmap for the data science teams, ensuring alignment with both product and business goals, while driving team growth and development.
  • Lead and scale a distributed Data Science team, collaborating with cross-functional teams to solve challenges in multiple subdomains, including POI (Points of Interest) collection and enrichment, road and map features generation, search, personalization and real-time navigation.
  • Develop innovative AI models and data strategies to solve previously unsolvable problems, unlocking new opportunities for Hudhud Maps to deliver exceptional value to users.
  • Collaborate with leadership to ensure data science initiatives directly contribute to the company’s strategic goals and have a meaningful impact on the organization.
  • Partner with engineering and product teams to deliver major cross-functional projects that push the boundaries of mapping technology.
  • Reimagine and reinvent how mapping and navigation are experienced in the region using AI-driven approaches.
  • Foster collaboration with external AI communities, universities, and the broader tech ecosystem in the MENA region to raise the bar for applied AI.

What you will need:

  • An advanced degree in a quantitative field such as computer science, statistics, economics, or mathematics.
  • At least 8+ years of professional experience working in data science and machine learning teams.
  • Strong experience in building, managing, and growing data science teams is essential.
  • A proven track record of delivering high-impact AI solutions and successfully leading cross-functional projects.
  • Experience launching new products and continuously improving them over time.
  • Demonstrated ability to attract, retain, and nurture top-tier talent.
  • A passion for fostering a culture of ownership, collaboration, and results.
  • Excellent leadership, communication, critical thinking, and judgment skills.
  • A strong motivation to make an impact and elevate the AI landscape in the region.
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