The Customer 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. Customer is led by a powerful purpose to simplify and improve the lives of people and build an awesome organisation that inspires. Since 2012, customer 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. Customer operates in over 70 cities across 10 countries, from Morocco to Pakistan.

About the team

The Customer 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 Gen AI.

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 customer 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

• 5+ 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, Big Query, Amazon
  EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, My SQL).
• Demonstrated experience with business intelligence and visualization tools (Tableau,
  Micro Strategy, Chart IO, 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 customer 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.

Our perks

• Covered vacation period: 20 business days and 5 days off
• Free English classes
• Flexible working schedule
• Truly friendly and supporting atmosphere
• Working remotely or in one of our offices
• Medical insurance for employees from Ukraine
• Compensation of psychological counseling
• Legal support
• Relocation assistance