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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist, Responsible AI - **Company:** Empower Careers - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $105,700.0 - $149,275.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Cloud Computing, Internet Service Provider, Python (Programming Language), NoSQL, Power BI, Azure Machine Learning, SQL Databases, Tableau (Software), Large Language Models, Model Validation, Generative AI, Computer Equipment, Information Technology, Machine Learning Operations - **Published:** June 30, 2026 - **Apply:** https://www.dice.com/job-detail/76d422b2-e075-4370-828a-fb9550a1e560 ## About the Role * 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. * Experience collaborating with engineering and product teams in an agile, iterative delivery environment. * Proficiency in Python and SQL for data analysis and evaluation workflows. Experience working with modern cloud platforms such as AWS. * Strong communication skills and ability to operate effectively in a matrixed team model., * 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. * Experience translating research or experimental methods into repeatable, production-aligned workflows., ***For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.*** ## Description 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 Empower 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. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. ***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.*** The Senior Data Scientist of Responsible AI serves as a senior individual contributor within Empower's Responsible AI (RAI) team. This role embeds directly with multiple AI delivery teams as a matrixed partner, ensuring AI and GenAI systems are measurable, transparent, safe, and aligned with Responsible AI principles. The position focuses on evaluation methodology, model behavior analysis, and operationalizing Responsible AI practices in collaboration with engineering, QA, security, and governance partners. What you will do: * Lead evaluation and validation of AI and GenAI systems, including assessment of hallucination, fairness, robustness, explainability, and other model behavior risks. * Design and implement repeatable evaluation workflows, benchmark datasets, and structured model behavior tests. * Serve as the Responsible AI data science partner for assigned AI delivery teams, guiding the integration of RAI metrics, guardrails, and evaluation practices. * Translate research findings and experimental methods into scalable, platform-ready evaluation capabilities. * Collaborate with AI/ML engineers and QA analysts to align evaluation logic with testing pipelines and deployment workflows. * Support the creation of model cards, evaluation documentation, and transparency artifacts required for governance and review. * Provide Responsible AI consultation to product, engineering, risk, legal, and governance stakeholders. * Mentor junior and mid-level data scientists on evaluation design, experimental rigor, and Responsible AI practices., * Cloud platforms such as AWS, including managed data and ML services. * Data storage and retrieval technologies such as relational and NoSQL databases. * Data analysis and visualization tools such as Python libraries, QuickSight, Tableau, or Power BI. * Collaboration and delivery tools supporting agile development and cross-functional workflows. Security and Risk Awareness * Contribute to Responsible AI and security-by-design practices by ensuring evaluation methods consider safety, misuse, and model risk. * Partner with engineering, security, and governance teams to identify, document, and mitigate AI-related risks surfaced through evaluation activities. * Support evolving security and risk requirements as they relate to AI system behavior, testing, and governance reviews. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Got AI ideas but no money? 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