Senior Data Scientist

About the Company

Jeeny is a leading ride-hailing platform that strives to revolutionize daily commuting and transportation. Our app connects users with their preferred modes of transportation, making mobility accessible, convenient, and affordable for all.

We are a joint venture between MEIG (Middle East Internet Group), Rocket Internet, and IMENA. Since our inception, we have grown exponentially and currently operate in Saudi Arabia and Jordan.

At Jeeny, we value innovation, teamwork, and a passion for delivering exceptional user experiences. Join us in our mission to transform the transportation landscape.

Job Overview

As a Data Scientist at Jeeny, you will play a pivotal role in extracting valuable insights from our data, leveraging statistical methods, machine learning algorithms, and programming skills to support our business objectives. You will collaborate with cross-functional teams to translate data analytics into actionable strategies that enhance user experience and drive growth.
Key Responsibilities

• Analyze structured and unstructured data to uncover patterns, trends, and insights.
• Perform exploratory data analysis (EDA) to understand data distributions and relationships.
• Ensure data quality and integrity throughout the analysis pipeline.
• Build, train, and evaluate predictive and prescriptive models using machine learning algorithms.
• Optimize model performance through hyperparameter tuning and feature engineering.
• Deploy models into production environments and monitor their performance.
• Collaborate with the product team to understand objectives and translate them into data-driven solutions.
• Design experiments (e.g., A/B testing) to evaluate the impact of business strategies.
• Provide actionable recommendations based on data analysis.
• Present technical findings in a clear and concise manner to non-technical stakeholders.
• Liaison with the designated team to identify key deliverables & business process optimization.
• Commercial awareness and confidence in working with complex data and systems.