Job Description

Job Summary
As a Data Scientist at Careem, you'll be part of a team that's 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 customer 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

• 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.

• 6+ years 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.
• Strong problem solving and coding skills.
• Strong experience in leading cross-functional teams and projects from a technical and data science perspective.
• Solid knowledge of and experience with the payment channels, pay terms, banking and payments services, and the payments regulatory landscape, preferably in MENA region
• Solid understanding of digital wallet use cases and potential risks associated with them
• 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.
• Demonstrated experience with database technologies (e.g. Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL) is a plus.
• Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skills is also a plus.
• Knowledge of Agile methodologies.