Job Summary

As a Data Scientist at Careem, you\xe2\x80\x99ll be part of a team that\xe2\x80\x99s 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

• 7+ 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\xe2\x80\x99s 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.

What we\xe2\x80\x99ll provide you

In addition to a competitive long-term total compensation with salary and equity, we have a reward philosophy that expands beyond this. As a Careem colleague you will be able to:

• Be part of a Remote-First organisation.
• Work from any country in the world for 60 days a year.
• Use Unlimited Vacation days throughout the year.
• Access fitness reimbursements for health activities including: gym, health club and training classes.
• Work and learn from great minds.
• Create impact in a region with untapped potential.
• Explore new opportunities to learn and grow every day.

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