Data Analytics/Scientist

Data Analytics/Scientist

Job Location: Riyadh, Saudi Arabia

Experience: 8 years relevant

Hiring a highly skilled Data Scientist to join a 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:

1. 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.
2. 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.
3. 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.
4. 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.
5. 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:

1. Advanced degree in Data Science, Statistics, Computer Science, or a related field.
2. Strong proficiency in Python, including libraries like Pandas, NumPy, Scikit-learn, and TensorFlow.
3. Expertise in data visualization tools such as Tableau.
4. Experience with ETL tools and data warehousing concepts.
5. Strong problem-solving and analytical skills.
6. Excellent communication and presentation skills, including the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
7. Experience in defining and measuring KPIs in a banking or financial context.
8. Experience in the banking or financial industry is preferred.