Senior Data Analyst Position
20 hours ago
About Jeeny
Jeeny is a cutting-edge ride-hailing platform that aims to transform the transportation landscape. As a joint venture between MEIG (Middle East Internet Group), Rocket Internet, and IMENA, we prioritize innovation, teamwork, and exceptional user experiences. Our mission is to provide accessible, convenient, and affordable mobility solutions for all.
Data Science Role
We are seeking a talented Data Scientist to join our team. In this role, you will be responsible for extracting valuable insights from our data, leveraging statistical methods, machine learning algorithms, and programming skills to support our business objectives. You will work closely with cross-functional teams to translate data analytics into actionable strategies that enhance user experience and drive growth.
Key Responsibilities
- Collect and analyze structured and unstructured data to identify 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
- At least 5 years of experience in data science, machine learning, or a related field, with excellent interpersonal and problem-solving skills.
- 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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