TL;DR

Senior Data Scientist (Responsible AI): Leading the evaluation and validation of AI and GenAI systems, including assessment of hallucination, fairness, robustness, and explainability with an accent on designing repeatable evaluation workflows, benchmark datasets, and operationalizing Responsible AI practices. Focus on translating research findings into scalable evaluation capabilities and ensuring AI systems are measurable, transparent, and safe.

Location: Remote - Nationwide (U.S. only). Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT. A reliable high-speed internet with a wired connection and a dedicated home workspace are required.

Salary: $105,700.00 - $149,275.00

Company

%hirify_global% is a financial services company focused on transforming financial lives and helping customers achieve financial freedom.

What you will do

Lead evaluation and validation of AI and GenAI systems, assessing hallucination, fairness, robustness, and explainability.
Design and implement repeatable evaluation workflows, benchmark datasets, and model behavior tests.
Serve as the Responsible AI data science partner for AI delivery teams, integrating RAI metrics and practices.
Translate research and experimental methods into scalable evaluation capabilities.
Collaborate with AI/ML engineers and QA analysts on evaluation logic and deployment workflows.
Support creation of model cards, documentation, and transparency artifacts for governance.

Requirements

Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience.
6+ years of professional data science experience.
Demonstrated experience developing or evaluating AI/ML systems in production or pre-production environments.
Strong grounding in experimental design, statistical analysis, and model evaluation methodology.
Proficiency in Python and SQL for data analysis and evaluation workflows, and experience with AWS.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.

Nice to have

Experience evaluating Generative AI or LLM-based systems.
Hands-on work with explainability, fairness analysis, hallucination detection, or robustness testing techniques.
Familiarity with Responsible AI principles, governance frameworks, or model documentation practices.

Culture & Benefits

Flexible work environment with fluid career paths and internal mobility.
Medical, dental, vision, and life insurance.
401(k) plan with generous company matching contributions and financial advisory services.
Tuition reimbursement up to $5,250/year.
Generous paid time off, including paid holidays, floating holidays, and paid volunteer time.
Leave of absence programs, including paid parental leave and short/long-term disability.