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Home›Jobs›Careem›Analytics & Automation Manager
Careem

About Careem

Your reliable ride in the Middle East

🏢 Tech👥 1K-5K📅 Founded 2012📍 Dubai, Dubai, United Arab Emirates

Key Highlights

  • Operates in 100+ cities across 14 countries
  • Acquired by Uber for $3.1B in 2020
  • 1,000-5,000 employees with a strong tech focus
  • Raised over $1 billion in funding

Careem, a subsidiary of Uber, is a leading ride-hailing platform based in Dubai, United Arab Emirates. Founded in 2012, Careem operates in over 100 cities across 14 countries in the Middle East, North Africa, and South Asia, serving millions of customers. The company raised over $1 billion in fundin...

🎁 Benefits

Careem offers competitive salaries, equity options, comprehensive health insurance, and generous paid time off. The company also supports remote work ...

🌟 Culture

Careem fosters a culture of innovation and adaptability, focusing on solving local transportation challenges. The company values diversity and inclusi...

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Careem

Analytics & Automation Manager

Careem • Karachi, Pakistan

Posted 1 month ago🏠 RemoteMid-LevelAnalytics engineer📍 Karachi
Apply Now →

Skills & Technologies

Machine learningPythonSQL

Overview

Careem is seeking an Analytics & Automation Manager to build and evaluate machine learning models that enhance services like ride-hailing and food delivery. You'll work with Python and SQL to drive impactful AI solutions in Karachi.

Job Description

Who you are

You have a strong background in analytics and automation, with experience in building and deploying machine learning models that drive business outcomes. You are proficient in Python and SQL, and you understand how to leverage data to improve operational efficiency and customer experience. You are a curious problem-solver who thrives in a collaborative environment, eager to learn and apply AI technologies to real-world challenges. You have a track record of working with cross-functional teams to deliver impactful solutions that simplify processes and enhance user experiences.

Desirable

Experience in the mobility or delivery sectors is a plus, as is familiarity with AI frameworks and tools. You are comfortable experimenting with new technologies and methodologies to find the best solutions for complex problems. You are passionate about using data to inform decisions and drive improvements in service delivery.

What you'll do

In this role, you will build, train, and evaluate machine learning models for key services at Careem, including ride-hailing, food delivery, and payments. You will work closely with product and engineering teams to integrate these models into production systems, ensuring they deliver real value to users. Your responsibilities will include analyzing data to identify trends and opportunities for automation, as well as developing algorithms that enhance customer experience and operational efficiency. You will also experiment with different approaches to model training and evaluation, iterating quickly to refine your solutions based on feedback and performance metrics.

You will have the opportunity to work on AI problems at a regional scale, impacting millions of users across the Middle East and North Africa. Your work will contribute to Careem's mission of simplifying and improving lives through technology. You will collaborate with a smart, motivated team that values learning and practical impact, and you will have the flexibility to work remotely while maintaining strong communication and collaboration with your colleagues.

What we offer

Careem offers a dynamic work environment where you can make a real impact through your work. You will have the chance to tackle challenging AI problems that improve lives and drive business outcomes. The company supports a culture of learning and growth, providing opportunities for professional development and collaboration. You will be part of a team that is at the forefront of transforming mobility, delivery, and digital services in emerging markets, with a strong emphasis on innovation and practical solutions. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

Interested in this role?

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