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Data Scientist

Discovered MENADubai, Dubai, United Arab Emirates

منذ يوم 1

الوصف الوظيفي

Overview

We’re seeking a highly skilled technical specialist to rigorously assess and validate third-party AI solutions. You will collaborate closely with Product Managers, AI Architects, and domain experts to scrutinize vendor offerings, create evaluation methods, and perform hands-on testing. Your goal is to verify vendor claims, measure performance, and determine the suitability of AI solutions across multiple contexts - Provider, Payer, Enterprise, and Consumer.

Drawing on deep knowledge of AI / ML principles, data analysis, and validation frameworks, you will help the organization invest in AI technologies that are robust, effective, and ethically sound. You’ll play a pivotal role in separating hype from reality and providing the technical evidence needed for strategic decisions.

Key Responsibilities

Perform comprehensive technical reviews of third-party AI products, including their methodologies, algorithms, data requirements, disclosed model architectures, and performance claims.
Design and implement rigorous evaluation frameworks and testing protocols for diverse AI applications (predictive analytics, NLP, computer vision, etc.).
Execute evaluation plans : prepare data, engineer features for comparative analysis when necessary, run vendor models / APIs, and analyze outputs.
Benchmark and compare competing vendor solutions addressing the same problem.
Translate complex evaluation results into clear, actionable insights for both technical and business stakeholders.
Produce detailed technical reports and presentations summarizing findings, highlighting performance, limitations, risks, and data-fit considerations.
Collaborate with AI Architects and engineering teams to assess integration feasibility and data-pipeline needs.
Share best practices and contribute to the broader technical community on AI model evaluation and validation.

Qualifications

Master’s degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Physics, or another quantitative discipline.

3–5+ years of hands-on experience as a Data Scientist or Machine Learning Engineer, with a portfolio showcasing AI / ML model development, evaluation, and deployment.

Strong programming skills in Python or R, along with libraries such as scikit-learn, TensorFlow, PyTorch, Pandas, and NumPy.

Solid understanding of a broad range of machine learning algorithms - classification, regression, clustering, NLP, and computer vision - and their mathematical foundations.

Proven track record in model validation techniques, including cross-validation, A / B testing, and bias assessment.

Advanced statistical analysis abilities and a critical eye for model performance metrics.

Proficiency with SQL or similar data-querying languages and experience working with large datasets.

Preferred Qualifications

Background in healthcare (Provider, Payer, Life Sciences, HealthTech) and familiarity with healthcare data such as EHR, claims, imaging, or omics.

Experience evaluating third-party AI / ML products or working with MLaaS platforms.

Knowledge of ethical AI practices, including fairness, accountability, and transparency (FAT).

Familiarity with cloud-based ML platforms such as AWS SageMaker, Azure ML, or Google AI Platform.

Understanding of data governance, privacy regulations (HIPAA, GDPR), and security in AI contexts.

Creative problem-solving skills and the ability to overcome evaluation challenges with limited information.

Excellent communication skills for presenting complex technical findings to varied audiences.

Location

Dubai

Employment type

Full-time

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Data Scientist • Dubai, Dubai, United Arab Emirates