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Careem

Senior Data Scientist II - Personalization

Careem · Dubai, United Arab Emirates

Posted about 3 months ago

or apply directly on Careem's site. We never take the application ourselves.

Is this posting real?

This role has been open
81 days
Careem's roles stay open a median of 82 days
Reposted
No
Salary listed
No
0% of Careem's roles list one
Ghost-job risk at Careem
high
21 stale, 0 reposted of 25 open
Hiring momentum
42 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-24

Measured from postings appearing on and disappearing from Careem's own greenhouse board since 2026-08-03. Full hiring picture for Careem.

About this role

As a Senior Data Scientist II on the Personalization team at Careem, you will lead the development of AI systems that enhance user experience across various services like Food, Quik, and Shops. Your role involves designing and implementing hyper-personalization systems, utilizing advanced machine learning techniques, and driving data-driven product decisions. You will also engage in exploratory analysis to understand user behavior and optimize product engagement strategies.

Our read on this posting2.6out of 5
benefits
2/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Careem as an employer.

What you need

  • 7-10 years of experience in data mining, predictive modeling, time series analysis, machine learning, and Big Data methodologies
  • Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering, or Computer Science
  • Solid experience with deep learning techniques including attention mechanisms, retrieval models, and transformer-based architectures applied to ranking or recommendation problems
  • 2-4 years of industry experience in personalization, recommendation, or search
  • Strong problem-solving and coding skills
  • Solid knowledge of A/B testing methodology, classical ML, and deep learning

Nice to have

  • Working with or evaluating knowledge graphs, graph neural networks, or graph-based retrieval systems
  • Familiarity with or interest in online/streaming learning systems models that adapt within a session rather than relying solely on batch retraining
  • Geospatial data processing skills

What you get

  • Work 4 days a week in office & 1 day from home
  • Remote work from any country in the world for 30 days a year
  • Unlimited vacation days per year
  • Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes

Worth weighing

  • No salary listed
  • Focus on AI and personalization may require continuous learning and adaptation to new technologies
  • The role involves significant responsibility in shaping product engagement strategies, which may be challenging but rewarding

Summarised from Careem's posting. Read the full original.

Listed by Careem on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.

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