Senior Data Science Engineer

Summary: The Senior Data Science Engineer role focuses on designing and executing validation frameworks for AI/ML models, assessing their performance, and ensuring compliance with regulatory standards. The position requires collaboration with various stakeholders and effective communication of validation results. Candidates should possess a strong background in data science and machine learning, particularly in model validation. This is a fully remote position based in the USA.

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.

Key Skills:

• 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)

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT