Senior Data Science Engineer

Overview

Remote
Depends on Experience
Contract - Independent
Contract - W2
Contract - 6 Month(s)
No Travel Required

Skills

Artificial Intelligence
Machine Learning (ML)
Microsoft Azure
Data Visualization
Python
Statistical Models
Cloud Computing
Data Science

Job Details

***********100% remote***********

Key Responsibilities:

Design and execute validation frameworks for AI/ML models

Assess model performance using appropriate metrics (e.g., precision, recall, F1 score, ROC-AUC) and statistical tests.

Collaborate with data engineers, ML engineers, and domain experts to understand model objectives and data sources.

Develop and maintain documentation of validation processes, findings, and recommendations.

Conduct stress testing and scenario analysis to evaluate model robustness.

Ensure compliance with internal governance and external regulatory standards (e.g., GDPR, AI Act).

Communicate validation results to technical and non-technical stakeholders through clear visualizations and reports.

Qualifications:

Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

3+ years of experience in data science or machine learning, with a focus on model validation or evaluation.

Proficiency in Python and experience with ML libraries

Strong understanding of statistical modeling, hypothesis testing, and data visualization.

Experience with model governance frameworks and ethical AI principles.

Excellent communication and documentation skills.

Knowledge of explainable AI (XAI) techniques and tools (e.g., SHAP, LIME).

Experience with cloud platforms (Azure)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.