Data Scientist – Fintech ML & Growth Analytics

Circlys App; Riyadh; On-site; SAR 180,000 - 300,000; Full time

Job summary

Circlys App is seeking a data scientist to develop and deploy machine learning models, analyze complex datasets, and provide actionable insights to guide business decisions. The role requires strong Python, SQL, and ML expertise and the ability to communicate results to both technical and non-technical stakeholders.

You will design models for forecasting and recommendation systems, perform EDA, and collaborate with engineering to productionize solutions.

Qualifications

• 2–4 years of professional experience in data science or ML role.
• Proficiency in Python or R for data analysis and modeling.
• Strong knowledge of SQL and relational databases.
• Hands-on experience with ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost).
• Experience with data visualization tools (Tableau, Power BI).

Responsibilities

• Design, develop, and deploy machine learning models to solve business problems (e.g., forecasting, classification, recommendation systems)
• Perform exploratory data analysis (EDA) to identify trends, patterns, and actionable insights
• Document methodologies, assumptions, and results for reproducibility
• Clean, preprocess, and analyze large, structured and unstructured datasets
• Collaborate with engineering teams to productionize models and integrate them into existing systems/pipelines
• Build dashboards and visualizations to communicate findings to technical and non-technical stakeholders
• Conduct A/B testing and statistical analysis to evaluate business initiatives
• Monitor model performance in production and iterate/retrain as needed
• Stay current with industry trends, tools, and best practices in data science and ML

Skills

Python

SQL

Machine Learning

Data Visualization

Git

Communication

Education

Bachelor's or Master's in data science or related field

Tools

scikit-learn

TensorFlow

PyTorch

XGBoost

Job description

Circlys App is seeking a data scientist to develop and deploy machine learning models, analyze complex datasets, and provide actionable insights to guide business decisions. The role requires strong Python, SQL, and ML expertise and the ability to communicate results to both technical and non-technical stakeholders.

You will design models for forecasting and recommendation systems, perform EDA, and collaborate with engineering to productionize solutions.