Note: The job is a remote job and is open to candidates in USA. Grid Dynamics is seeking a Research Scientist to analyze safety evaluation results across languages and markets. The role develops reports and dashboards, shares findings with cross-functional stakeholders, and collaborates with experts to interpret results across linguistic and cultural settings.
Responsibilities
- Evaluation Analysis: Lead quantitative and qualitative analyses of safety evaluation data, including analyses of results patterns, distributional analyses, trend detection, and comparative assessments across languages, markets, and model versions. Apply state-of-the-art statistical methods to extract meaningful insights
- Report Creation: Develop comprehensive, well-structured reports that synthesize evaluation results, highlight key findings, surface risks, and provide actionable recommendations for engineering, product, and policy teams. Ensure reports are accessible to both technical and non-technical audiences
- Dashboard Development: Design and build interactive dashboards that provide real-time and historical visibility into safety evaluation metrics, trends, and cross-market comparisons. Ensure dashboards are clear, self-service, and tailored to diverse stakeholder needs
- Cross-Functional Sharing: Present findings and recommendations to stakeholders across the organization, including engineering, product, legal, and executive teams. Translate complex analytical results into clear narratives that drive decision-making
- Collaboration with Experts: Work closely with subject matter experts and other specialists to contextualize analytical findings, collaboratively validate interpretations across languages (working with language experts), and ensure that cross-market comparisons account for linguistic and cultural variation
- Methodological Rigor: Establish and maintain analytical standards, reproducible workflows, and documentation practices that ensure consistency, transparency, and quality across all reporting deliverables
Skills
- 3+ years of experience in an applied research or data science role with a focus on quantitative analysis, reporting, and insight generation
- Strong proficiency in statistical analysis methods, including clustering, latent pattern analysis, regression, and hypothesis testing
- Comfortable producing high-quality reports and data visualizations for diverse audiences, using tools such as Python (matplotlib, seaborn, plotly), R, Tableau, or similar
- Experience building dashboards or automated reporting systems for ongoing monitoring and stakeholder communication
- Able to produce meaningful visualizations and reports of complex data, and effectively present results to different audiences and across multiple media formats
- Able to work independently to drive outcomes among cross-functional teams, with minimal direction
- Organized, highly attentive to detail, and manages time well
- Excellent written and oral communication skills
- Advanced degree (MS/PhD) in Statistics, Data Science, Computational Social Science, Quantitative Psychology, or a related field
- Experience working in industry
- Experience conducting analyses across multilingual or cross-cultural datasets
- Experience with variable modeling, item response theory, or psychometric methods
- Proficiency with dashboard and BI tools (e.g., Tableau, Looker, Superset, or custom-built solutions)
- Prior experience in AI safety, responsible AI, content moderation, or related domains
- Experience with large-scale data infrastructure (e.g., Spark, Hadoop, or cloud-based analytics platforms)
Benefits
- Opportunity to work on cutting-edge projects
- Work with a highly motivated and dedicated team
- Flexible schedule
- Benefits package - medical insurance, vision, dental, etc.
- Corporate social events
- Professional development opportunities
- Well-equipped office
Company Overview
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