<p style="text-align:left">Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within <a href="https://himalayas.app/companies/empower-com">Empower</a> and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.</p><p style="text-align:left">Chart your own path and grow your career while helping more customers achieve financial freedom. <a href="https://himalayas.app/companies/empower-com">Empower</a> Yourself.</p><p><i><b>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.</b></i></p><div><div><div><p>The Data Scientist will support <a href="https://himalayas.app/companies/empower-com">Empower</a>’s Responsible AI strategy by developing, applying, and validating methods used to evaluate generative AI, agentic AI, and other AI-enabled business applications.</p><p>This role focuses on fairness, explainability, transparency, hallucination, safety, reliability, and related Responsible AI measures. The Data Scientist will work with AI/ML engineers, data engineers, security engineers, architects, governance partners, and business stakeholders to ensure evaluation methods are practical, repeatable, and aligned with business and regulatory needs.</p><h3>What You Will Do:</h3><ul><li>Apply statistical analysis and experimentation to evaluate generative AI, agentic AI, and other AI-enabled applications.</li><li>Develop and maintain Responsible AI measures, benchmark datasets, test suites, and evaluation criteria.</li><li>Evaluate AI systems for fairness, bias, explainability, transparency, hallucination, safety, reliability, and robustness.</li><li>Use evaluation results to support the design, testing, selection, and ongoing assessment of AI-enabled business applications.</li><li>Establish performance baselines and help identify changes in model or application behavior over time.</li><li>Design and execute proofs of concept for new Responsible AI evaluation approaches.</li><li>Assess emerging Responsible AI tools, frameworks, and methodologies for validity, limitations, and business applicability.</li><li>Support the integration of Responsible AI testing into application development, quality assurance, and governance processes.</li><li>Partner with engineering, architecture, quality assurance, governance, and business teams to align evaluation methods with use case requirements.</li><li>Create and maintain model cards, evaluation reports, methodology documentation, and related guidance.</li><li>Communicate findings, limitations, risk