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Benefits offered by this job
Medical, dental, and vision insurance
401(k) savings plan with company match
Paid parental leave
Paid personal time
Life insurance
Wellbeing benefits
Job summary
A leading technology company in New York seeks data scientists and AI developers to enhance internal audit processes. Candidates should possess a Bachelor's degree in a quantitative field and at least 5 years of data science experience, with proficiency in ML model auditing. Responsibilities include identifying risks in ML models and developing data solutions, while supporting auditors with data analytics services. A competitive compensation package, including benefits and flexible working arrangements, is offered.
Qualifications
Bachelor’s degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Financial Engineering, Operations Research, or Economics.
Minimum of 5 years of experience in applied data science, machine learning engineering, or AI research.
Hands-on experience in designing, deploying, and monitoring large-scale ML models.
Responsibilities
Conduct audits on the model lifecycle ensuring compliance with quality, performance, fairness, and risk-management standards.
Identify model vulnerabilities including bias, fairness violations, and harmful hallucinations.
Provide data support and guidance for audit engagements, including data quality checks and deriving insights.
Skills
Model Evaluation & Audit Frameworks
Risk Identification & Mitigation
Measurement Metrics & Statistical Validation
Communication & Collaboration
Data Analytics Services
Data Warehousing
AI-Driven Automation and Insights
Professional Development
Education
Bachelor’s degree in a quantitative discipline
Tools
SQL
Python
Hugging Face Transformers
TensorFlow
PyTorch
scikit-learn
Job description
A leading technology company in New York seeks data scientists and AI developers to enhance internal audit processes. Candidates should possess a Bachelor's degree in a quantitative field and at least 5 years of data science experience, with proficiency in ML model auditing. Responsibilities include identifying risks in ML models and developing data solutions, while supporting auditors with data analytics services. A competitive compensation package, including benefits and flexible working arrangements, is offered.