[Hiring] Data Scientist @Grid Dynamics Holdings

Role Description

We are looking for a Research Scientist to lead the analysis, reporting, and cross-functional dissemination of safety evaluation results across languages and markets. You will play a crucial role in supervising and collaborating with managed services partners on latent pattern analyses, creating comprehensive reports and dashboards, and sharing insights with cross-functional stakeholders.

An ideal candidate possesses strong quantitative research skills, experience producing high-impact analytical deliverables, and the ability to work closely with cross-functional partners and subject matter experts. In this role, your collaborative work will enable the team to derive insights from evaluations conducted with language experts and multi-lingual annotators, contextualizing findings across diverse linguistic and cultural settings.

Essential functions

• 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.

Qualifications

• 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.

Requirements

• 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
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, vision, dental, etc.
• Corporate social events
• Professional development opportunities
• Well-equipped office