Data Scientist

Responsibilities:

1. Lead and contribute to data science projects by applying advanced predictive modeling techniques to solve complex business problems for our clients.
2. Provide expert guidance in developing and implementing econometric models, specifically focusing on forecasting methodologies for economic indicators such as GDP and inflation.
3. Collaborate closely with cross-functional teams and clients to understand their business objectives, gather relevant data, and design solutions that drive actionable insights.
4. Utilize your deep understanding of statistical methods, machine learning algorithms, and econometric modeling to create models that enhance forecasting accuracy and provide valuable insights.
5. Conduct thorough exploratory data analysis to identify patterns, trends, and correlations within data, translating them into actionable recommendations for clients.
6. Clean, pre-process, and transform data to ensure its quality and suitability for analysis and modeling, while maintaining a high level of data integrity.
7. Interpret and communicate complex findings to both technical and non-technical stakeholders through clear visualizations, reports, and presentations.
8. Mentor and guide junior team members, providing technical expertise, feedback, and support to foster their growth and development.
9. Stay updated with the latest advancements in data science, predictive modeling, econometrics, and relevant industry trends, and incorporate this knowledge into client projects.
10. Actively contribute to thought leadership initiatives, knowledge sharing, and continuous improvement of internal processes.

Qualifications:

1. Bachelor's or Master's in Data Science, Statistics, Economics, or a related quantitative field.
2. Proven experience (4 years) in a consulting or similar role, with a focus on data science, predictive modeling, and econometrics.
3. Strong programming skills in languages such as Python, along with expertise in data manipulation libraries (e.g., pandas, NumPy) and machine learning frameworks (e.g., sci-kit-learn, TensorFlow)
4. Extensive knowledge of econometric modeling techniques, time series analysis, and advanced forecasting methodologies. (Preferred, not mandatory)
5. Proficiency in data visualization tools (e.g., Tableau, and Power BI) to create impactful visualizations and reports.
6. Proficiency in deploying data science solutions on production systems, hands-on understanding of ML Ops
7. Proficiency in integrating the data science solutions with the application's front end (Angular JS) and back end (NodeJS) (Preferred, not mandatory)
8. Demonstrated ability to apply economic principles to develop accurate GDP and inflation forecasting models, with a solid understanding of relevant economic factors. (Preferred, not mandatory)
9. Excellent problem-solving and analytical skills, with the ability to structure and solve complex business challenges using data-driven approaches.
10. Strong interpersonal and communication skills to effectively collaborate with clients and present findings to diverse audiences.
11. Project management skills to effectively lead and deliver multiple projects, ensuring timely and high-quality results.
12. A proactive approach to continuous learning, staying updated with emerging technologies, industry trends, and best practices.
13. Only Arabic speakers will be considered for this position.