Senior Data Scientist for Integrity & Trust developing AI fraud detection systems in MENA region. Building models for detection and maintaining marketplace quality across the platform.
About the role
- Data Scientist at ZELP analyzing large datasets and developing data-driven solutions for agriculture. Collaborating with stakeholders and implementing machine learning models to address business challenges.
Responsibilities
- Collaborate with stakeholders to identify and understand business needs, translating them into data-driven solutions.
- Design, implement, and maintain robust data pipelines for collecting, cleaning, transforming, and analysing large datasets.
- Perform exploratory data analysis (EDA) to uncover trends and patterns.
- Develop and apply advanced statistical and machine learning models to solve business problems, including forecasting, segmentation, optimization, and predictive modeling.
- Conduct rigorous data analysis, interpret results, and communicate findings to technical and non-technical audiences in a clear and compelling manner.
- Develop and maintain interactive dashboards and visualizations to effectively present data insights and support decision-making.
- Stay abreast of emerging technologies and industry best practices in data science, continuously exploring opportunities for innovation and improvement.
- Contribute to the development of a data-driven culture within the organization, promoting the value of data-informed decision-making.
Requirements
- 4+ years of experience in data science, analytics, or a related field.
- Proven experience working with large datasets and statistical modeling.
- Proficiency in programming languages such as Python or R, with a strong understanding of object-oriented programming concepts.
- Experience in designing and implementing ETL pipelines, data warehousing, and data modeling.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
- Familiarity with data visualization and reporting tools, such as Tableau, Power BI, or Looker.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
- Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
- Excellent communication and presentation skills, with the ability to effectively communicate with both technical and non-technical audiences.
- Collaborative mindset and ability to work effectively within cross-functional teams.
Job title
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