Careem is building the Everything App for the greater Middle East, making it easier than ever to move around, order food and groceries, manage payments, and more. Careem is led by a powerful purpose to simplify and improve the lives of people and build an awesome organisation that inspires. Since 2012, Careem has created earnings for over 2.5 million Captains, simplified the lives of over 50 million customers, and built a platform for the region\'s best talent to thrive and for entrepreneurs to scale their businesses. Careem operates in over 70 cities across 10 countries, from Morocco to Pakistan.
About the team
The Careem Data Science 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 one of the tech leaders in this team, you will be at the forefront of fulfilling this mission. You will be working with the top data science talent of the region, while innovating on our user experience using GenAI.
What you\'ll do
Build a long-term vision on how we can rethink our customer acquisition and engagement strategies leveraging data in our decision making.
Drive exploratory analysis to understand the ecosystem, user behavior; identifying new levers to help move metrics and build models of user behaviors for analysis and product enhancements.
Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.
Provide product leadership by sharing data-based recommendation to communicate state of business, root cause of change in metrics and experimentation results influencing product and business decision
Implement scalable machine learning 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.
Build and deploy retrieval augmented generation systems and other applications of large language models.
What you\'ll need
7+ years of experience in data mining, predictive modeling, time series analysis, machine learning, Big Data methodologies, transformation and cleaning of both structured and unstructured data.
Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.
Solid experience with Deep Learning Techniques (LLM is a plus).
Strong problem solving and coding skills.
Solid knowledge of AB testing, classic ML and DL
Solid understanding of recommendations, ranking and retrieval.
Proficiency and demonstrated experience in: Python, SQL, Spark, Hive.
Demonstrated experience with database technologies (e.g. Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).
Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skills is a plus.
What we\'ll provide you
We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a Careem colleague you will be able to:
Work and learn from great minds by joining a community of inspiring colleagues.
Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
Explore new opportunities to learn and grow every day.
Enjoy the flexibility that comes with the trust of being an owner; work in a hybrid style with a mix of days at the office and at home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year.
Access to healthcare benefits and fitness reimbursements for health activities including: gym, health club and training classes.
Apply for this Job
Required
First Name *
Last Name *
Email *
Phone *
Location (City)
Resume/CV *
Drop files here
Attach or enter manually
(File types: pdf, doc, docx, txt, rtf)
Current Job Title *
LinkedIn Profile
Careem is: *
Based on your understanding of Careem so far please click on all that apply
Purpose driven organisation
Run by colleagues who want to create impact
An organisation where making profit is the first rule of business
An organisation with deep rooted Values
A organisation with set work hours and working methodology
I applied to Careem because I am inspired by the potential colleagues I will work with at Careem. *
I applied to Careem because I feel that I would grow professionally. *
I applied to Careem because I feel that the job would enable me to learn new skills *
By working at Careem I believe I can drive sustainability efforts in my community and be a change agent in the region. *
How did you learn about a role at Careem? *
A recruiter from Careem reached out to me and encouraged me to apply
I read about Careem in the news.
I attended a University event or career fair and met a representative from Careem
I had a conversation with a friend or acquaintance who works at Careem
I saw a social post and checked out the organisation
I saw a Careem speaker at a conference and was encouraged to apply
Have you seen Careem content on social media ? *
If Yes, please specify the platform (tick all that apply) *
LinkedIn
Twitter
TikTok
Instagram
Not Applicable
If Yes - do you remember what the content was about? *
About the brand
Careem colleague highlight/feature
About a product launch
Tech related
Comms/PR related
Other
Not Applicable
If yes - did the content provide relevant information for you? *
If yes - did the content increase your desire to want to work at Careem/apply to work at Careem? *
I am applying for a role at Careem because (tick all that apply) *
I want to work with like minded individuals
I heard about the company\'s purpose and it resonates with me
I heard an executive from Careem and it inspired me to apply
I heard Careem has lots of growth opportunities and it resonates well with my personal goals and ambitions
Financial compensation
I am interested in applying for a role at Careem as I am inspired by the professional development opportunities provided and would like to grow within the ranks at the organisation. *
I am inspired by the colleagues at Careem and that has encouraged me to apply for a role at Careem *
I am applying for a role at Careem because (tick all that apply) *
I want to work with like minded individuals
I heard about the company\'s purpose and it resonates with me
I heard an executive from Careem and it inspired me to apply
I heard Careem has lots of growth opportunities and it resonates well with my personal goals and ambitions