We are currently supporting a client on a long-term consulting engagement and are looking to onboard an experienced Data Scientist for an on-site project in Kuwait.
Key Responsibilities & Required Skills
The ideal candidate will bring strong analytical skills, a problem-solving mindset, and hands-on experience across the following areas:
- Data Extraction, Transformation, and Analysis
- Collect and clean large datasets from various structured and unstructured data sources.
- Design and implement ETL pipelines to prepare data for modeling and analysis.
- Perform exploratory data analysis (EDA) to derive actionable insights.
- Proficiency in SQL and Python.
- Write efficient SQL queries for data manipulation, aggregation, and reporting.
- Use Python (Pandas, NumPy, Scikit-learn, etc.) for data wrangling, statistical analysis, and model development.
- Familiarity with version control tools (e.g., Git) and Jupyter notebooks.
- MVP Model Development
- Build and deploy Minimum Viable Product (MVP) models to validate hypotheses and demonstrate business value quickly.
- Design lightweight, scalable models that can be iterated on based on feedback and performance.
- Customer Segmentation & Clustering
- Apply unsupervised learning techniques such as K-Means, DBSCAN, or hierarchical clustering.
- Use segmentation to support personalization, targeting strategies, and customer lifecycle management.
- Translate clustering results into actionable business strategies.
- Churn Prediction Modeling
- Develop and validate supervised models to identify at-risk customers.
- Implement models that integrate business logic and real-time decision-making.
- Provide insights to improve customer retention strategies.
- Rapid Solution Deployment
- Deliver off-the-shelf, ready-to-use solutions under tight timelines.
- Balance model accuracy with business feasibility and implementation speed.
- Collaborate with stakeholders to prioritize use cases and align deliverables with business objectives.