Enable job alerts via email!

Data Scientist-On-Site Opportunity

HealthCare Dynamics Gen. Trading Company W.L.L

Kuwait City

On-site

KWD 15,000 - 25,000

Full time

3 days ago
Be an early applicant

Job summary

A healthcare consulting firm is seeking an experienced Data Scientist for an on-site project in Kuwait. The successful candidate will be responsible for data extraction, transformation, and analysis using SQL and Python, as well as developing models for customer segmentation and churn prediction. Strong analytical skills and the ability to deploy rapid solutions are essential for this role.

Qualifications

  • Strong analytical skills and problem-solving mindset.
  • Hands-on experience with data extraction and analysis.
  • Proficiency in SQL and Python for data handling.

Responsibilities

  • Collect and clean large datasets from multiple sources.
  • Design and implement ETL pipelines for data preparation.
  • Perform exploratory data analysis to derive insights.
  • Develop and validate models for customer segmentation.

Skills

Data Extraction
Data Transformation
Data Analysis
SQL
Python
MVP Model Development
Clustering Techniques
Churn Prediction
Data Visualization
Statistical Analysis

Tools

Git
Jupyter Notebooks

Job description

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.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.