The company is building the Everything App for the greater Middle East — simplifying and improving people's lives and inspiring its organization. Since 2012, the company has enabled earnings for over 2.5 million Captains and simplified the lives of more than 70 million customers across 70+ cities in 10 countries, from Morocco to Pakistan. With a new focus on AI, the company seeks curious problem-solvers who can leverage AI to enhance tools, automate workflows, and create meaningful impacts such as streamlining operations and improving customer experiences.
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The company Data Science team aims to drive competitive value from data at scale. By building AI models, the team optimizes user experiences, decision-making, and operational efficiency while leading the region's AI ecosystem. As a tech leader in this team, you will collaborate with top data science talent and innovate user experiences using Generative AI.
Responsibilities:
- Participate in the AI transformation of the company app, focusing on personalization.
- Develop a long-term vision for customer acquisition and engagement strategies using data.
- Conduct exploratory analyses to understand the ecosystem and user behavior, identifying new opportunities.
- Shape and influence data/ML models to enhance product experience and discover new product areas.
- Provide product leadership by delivering data-based recommendations that impact business decisions.
- Implement scalable machine learning algorithms in production environments.
- Conduct exploratory data analysis to identify growth and optimization areas.
- Define and track relevant key metrics for projects, design and analyze randomized controlled experiments.
- Challenge the status quo by investigating new data processing technologies and best practices.
- Build and deploy retrieval-augmented generation systems and applications of large language models.
Requirements:
- 6-8 years of experience in data mining, predictive modeling, time series analysis, and machine learning.
- Advanced degree in a quantitative discipline (e.g., Physics, Statistics, Mathematics, Engineering, Computer Science).
- Solid experience with Deep Learning Techniques (e.g., attention, retrieval models).
- 1-2 years of industrial experience in personalization, recommendation, or search is required, preferably in a product-driven environment.
- Strong problem-solving and coding skills.
- Solid knowledge of A/B testing, classic ML, and deep learning.
- Proficient in Python, SQL, Spark, and Hive.
- Experience with database technologies (e.g., Hadoop, BigQuery, Amazon EMR, Oracle).
- Familiarity with business intelligence and visualization tools (e.g., Tableau, Qlik) is a plus.
Work Conditions: Full-time position.
