[Remote] Data Scientist – Responsible AI

Note: The job is a remote job and is open to candidates in USA. Grid Dynamics is a leading provider of technology consulting and AI services. They are seeking a Responsible AI & AI Safety Specialist to develop and implement strategies for building safe, ethical, and beneficial AI systems, identifying risks and shaping AI technologies in accordance with responsible AI principles.ResponsibilitiesRisk Assessment & Mitigation: Work closely with engineers, PMs, designers, and data scientists to identify potential risks and unintended consequences associated with AI systems (e.g., bias, fairness, privacy, security, robustness, interpretability, controllability). Develop and implement appropriate risk mitigation strategiesAI Safety Evaluations: Design and conduct rigorous evaluations of AI systems using a variety of methods, including quantitative analysis, simulations, red teaming, and user studies, to assess their safety, reliability, and alignment with intended goalsEmpirical Research: Investigate AI system behavior and impact using empirical methods such as simulations, adversarial testing, robustness analyses, and log analysis; and apply state-of-the-art statistical methods to analyze and interpret resultsPolicy & Guidelines: Contribute to the development of internal guidelines, policies, and best practices for responsible AI development and deployment, ensuring compliance with relevant regulations and ethical standardsReporting & Communication: Report on your research findings and recommendations to stakeholders across the organization, including engineering, product, legal, and executive teams. Communicate complex technical concepts clearly and conciselyCollaboration & Mentorship: Work autonomously and collaboratively with cross-functional teams. Mentor other researchers and engineers to promote a culture of responsible AI and AI safetySkills4+ years of experience in an applied research or engineering setting related to AI safety, responsible AI, or a closely related fieldAdvanced degree (MS/PhD) in Information Science, Computer Science, Science and Technology Studies, or Artificial Intelligence or a socio-technical fieldStrong understanding of AI safety concerns, including alignment, adversarial and robustness testing, content moderationComfortable analyzing and producing high-level reports of quantitative and qualitative data related to AI system performance, safety metrics, and risk assessments, including data from simulations and real-world deploymentsAble to produce meaningful visualizations and reports of the data, and effectively present results to different audiences and across multiple media formatsAble to work independently to drive outcomes among cross-functional teams, with minimal directionOrganized, highly attentive to detail, and manages time wellExcellent written and oral communication skillsExperience working in industryExperience with designing and conducting experiments to evaluate AI system behavior under various conditions, including adversarial attacks and edge casesExperience with AI safety tools and frameworksData science experience, especially with large, distributed data frameworks (e.g., Spark or Hadoop)Prior experience on AI safety, responsible AI, or related topicsGeneral familiarity with relevant regulations and ethical guidelines related to AI (e.g., EU AI Act)General familiarity with red teaming and adversarial testing of AI systemsExperience with technical AI safety mitigationsBenefitsCompetitive salaryFlexible scheduleBenefits package - medical insurance, vision, dental, etc.Corporate social eventsProfessional development opportunitiesWell-equipped officeCompany OverviewGrid Dynamics is a provider of in driving enterprise-level digital transformation solutions. It was founded in 2006, and is headquartered in San Ramon, California, USA, with a workforce of 5001-10000 employees. Its website is http://www.griddynamics.com.Company H1B SponsorshipGrid Dynamics has a track record of offering H1B sponsorships, with 12 in 2026, 38 in 2025, 29 in 2024, 12 in 2023, 12 in 2022, 1 in 2021. Please note that this does not guarantee sponsorship for this specific role.