Data Science Professional
1 day ago
About Us
Jeeny is a pioneering ride-hailing platform that aims to revolutionize daily transportation and commuting. Our mission is to provide accessible, convenient, and affordable mobility solutions for all. As a joint venture between MEIG (Middle East Internet Group), Rocket Internet, and IMENA, we strive to deliver exceptional user experiences through innovation and teamwork.
Job Summary
We are seeking a highly skilled Data Scientist to join our team. In this role, you will play a crucial part 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.
Main Responsibilities
- Analyze structured and unstructured data to uncover patterns, trends, and insights that inform our business decisions.
- Perform exploratory data analysis (EDA) to understand data distributions and relationships, ensuring data quality and integrity throughout the analysis pipeline.
- Develop, train, and evaluate predictive and prescriptive models using machine learning algorithms, optimizing model performance through hyperparameter tuning and feature engineering.
- Deploy models into production environments and monitor their performance, collaborating 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, providing actionable recommendations based on data analysis and presenting technical findings in a clear and concise manner to non-technical stakeholders.
Requirements
- Excellent interpersonal and problem-solving skills, with at least 5 years of experience in data science, machine learning, or a related field.
- Proficiency in programming languages like Python or R, with strong understanding of machine learning techniques and algorithms.
- Familiarity with large language models (LLM) and LangChain, as well as cloud platforms like Hadoop, AWS, Google Cloud, Snowflake, or Azure.
- Basic knowledge of data visualization tools such as Tableau and Power BI, with a solid foundation in hypothesis testing, regression, and probability distributions.
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