Data Analytics/Scientist
Job Location: Riyadh, Saudi Arabia
Experience: 8 years relevant
Hiring a highly skilled Data Scientist to join dynamic team and contribute to the optimization of our bank operations. The ideal candidate will possess a strong foundation in data science, statistical analysis, and data visualization, coupled with a deep understanding of banking operations.
Key Responsibilities:
Data Analysis and Insights:
• Analyze large and complex datasets to identify trends, patterns, and anomalies that impact operational efficiency and risk.
• Utilize statistical techniques and machine learning algorithms to uncover actionable insights.
KPI Definition and Measurement:
• Define and measure key performance indicators (KPIs) that align with the bank’s strategic objectives.
• Collaborate with business stakeholders to identify critical metrics and establish clear performance targets.
• Develop data-driven methodologies to track and monitor KPIs over time.
Dashboard Design and Development:
• Design and develop interactive dashboards using industry-leading tools like Tableau to visualize key performance indicators (KPIs) and operational metrics.
• Ensure dashboards are user-friendly, visually appealing, and provide clear insights.
• Continuously monitor and optimize dashboards to ensure data accuracy and relevancy.
ETL and Data Engineering:
• Develop and maintain efficient ETL processes to extract, transform, and load data from various sources into a data warehouse or data lake.
• Ensure data quality and consistency throughout the data pipeline.
• Collaborate with data engineers to optimize data ingestion and storage strategies.
Model Development and Deployment:
• Develop and deploy predictive models to forecast trends, identify risks, and optimize decision-making processes.
• Evaluate model performance and continuously refine models to improve accuracy and predictive power.
• Collaborate with IT teams to deploy models into production environments.
Required Skills and Qualifications:
• Advanced degree in Data Science, Statistics, Computer Science, or a related field.
• Strong proficiency in Python, including libraries like Pandas, NumPy, Scikit-learn, and TensorFlow.
• Expertise in data visualization tools such as Tableau.
• Experience with ETL tools and data warehousing concepts.
• Strong problem-solving and analytical skills.
• Excellent communication and presentation skills, including the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
• Experience in defining and measuring KPIs in a banking or financial context.
• Experience in the banking or financial industry is preferred.