At Careem, our mission is to simplify and improve the lives of people and create an awesome organisation that inspires. With this vast mission statement, we started by improving the mobility of people, the mobility of goods, then the mobility of money. We are transforming into a super-app hosting multiple Careem and 3rd-party apps to simplify life and amplify living.

We built the first multi-billion dollar tech startup in the MENAP region. We operate in 100+ cities across 11 countries. We joined Uber officially in early 2020. We grew and attracted top global talent and grew a culture that is known for bold ambitions, shooting for the moon, innovating with tight constraints, and being Careem/gracious.

The Careem Data Science and AI team’s mission is to drive competitive value from data at scale through building AI models to optimize user experiences, decision making, operational efficiencies, and lead the region’s AI ecosystem. 

As a Data Scientist at Careem, you'll be part of a team that's leading the next wave of disruption at a whole new scale. You will be developing descriptive and predictive models as well as running extensive data analysis on millions of transactions supported by a cutting edge data platform to unlock the big opportunities that simplify the lives of people through reliable transportation. Some of the problems the data science team works on are: Dynamic pricing optimization, Optimal dispatching, Fraud detection and prevention, ETA prediction, Location search optimization.

 

Responsibilities:

  • Implement scalable machine learning and optimization algorithms that will be used in production on big data.
  • Embark on exploratory data analysis projects to achieve better understanding of phenomena as well as to discover untapped areas of growth and optimization. 
  • Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.
  • Help define and track the appropriate key metrics for specific projects. 
  • Design and run randomized controlled experiments, analyze the resulting data and communicate results with other teams.
  • You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.

 

Qualifications:

  • 3+ years experience in data mining, predictive modeling, time series analysis, machine learning, Big Data methodologies, transformation and cleaning of both structured and unstructured data.
  • Bachelor's Degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science(Advanced degree preferred)
  • Strong problem solving and coding skills.
  • Fluency in English along with excellent oral and written communication skills.
  • Proficiency and demonstrated experience in at least 2 of the following: Python, R, SQL, Spark, Hive.
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)

Preferred:

  • Experience in Deep Learning, Reinforcement Learning

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