ML Data Scientist — Pricing & Lead Scoring on AWS

Halian | Managed Services, Recruitment Agency & Contract Staffing; Dubai; On-site; AED 240,000 - 420,000; Full time

Job summary

Halian | Managed Services, Recruitment Agency & Contract Staffing is seeking a Data Scientist to build and deploy machine learning models that optimize pricing, lead scoring, and listing quality on our property platform. You will own the end-to-end lifecycle from feature engineering to production, collaborating with engineering and business teams to deliver measurable impact.

You will deploy models on AWS, design evaluation frameworks, and monitor drift and data quality to drive continuous

Qualifications

• Bachelor's degree in computer science, Data Science, Mathematics, or related field.
• 4+ years of experience in Data Science, ML, or analytics.
• Strong Python, SQL, and ML experience (Scikit-learn, PyTorch, TensorFlow).
• Hands-on experience with feature engineering, model tuning, and evaluation.
• Experience deploying ML solutions on AWS.

Responsibilities

• Develop predictive and optimisation models using machine learning and statistical techniques.
• Build, deploy, and monitor production models on AWS (SageMaker, Lambda, ECS).
• Design model evaluation frameworks and support A/B testing initiatives.
• Partner with engineering to ensure scalable, reliable, and high-performing deployments.
• Monitor model performance, data quality, and drift to drive continuous improvement.

Skills

Python

SQL

Machine Learning

Feature Engineering

Education

Bachelor's degree in CS/DS/Math

Tools

Scikit-learn

PyTorch

TensorFlow

AWS SageMaker

SHAP

Job description

Halian | Managed Services, Recruitment Agency & Contract Staffing is seeking a Data Scientist to build and deploy machine learning models that optimize pricing, lead scoring, and listing quality on our property platform. You will own the end-to-end lifecycle from feature engineering to production, collaborating with engineering and business teams to deliver measurable impact.

You will deploy models on AWS, design evaluation frameworks, and monitor drift and data quality to drive continuous