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 teamThe 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 youWe offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time 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.
• Work 4 days a week in office & 1 day from 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.

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First Name *Last Name *Email *Phone *Location (City) *Resume/CV *Drop files hereAttach or enter manually(File types: pdf, doc, docx, txt, rtf)LinkedIn Profile *How did you learn about a role at Careem? (tick all that apply) *I saw the job posting on Linkedin and decided to applyI saw the job posting on Careem\'s Careers Page and decided to applyI saw the job posting on Localized and decide to applyA recruiter from Careem reached out to me and encouraged me to applyA recruiter external to Careem reached out to me and encouraged me to applyI had a conversation with a friend or acquaintance who works at CareemI attended a University event or career fair and met a representative from CareemI read about Careem in the newsOtherHave you seen Careem\'s content on social media? *If Yes, please specify the platform (tick all that apply) *LinkedInTwitterTikTokInstagramOtherWhat influenced your decision to apply for a role at Careem? (tick all that apply) *Careem\'s purpose and valuesThe career growth and development opportunities offered at CareemFinancial compensation and colleague benefitsThe job description aligns with my skills and qualificationsWorking with top talent at the organisationCommunity of inspiring colleaguesThe opportunity to drive impactOtherHave you previously worked at Careem? *Current Employer *Current Job Title *To which gender identity do you most identify:Voluntary Self-IdentificationCompletion of this question is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter.As outlined in Careem\'s Equal Employment Opportunity policy, we do not discriminate based on any protected group status under any applicable law.The collection of demographic information is for internal purposes only i.e. equal employment opportunity monitoring as well as diversity initiatives.

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