Data Scientist
Employer · Yext
Mathematician
Systems analyst
Business analystFull-timeBudapest
As an AI-first organization using modern AI and agentic workflows, we seek a Data Scientist to transform data assets into measurable business value and product capabilities by designing reliable data products, methodologies, and cross-functional features from concept to production.
Tasks
- Identify product and business opportunities by analyzing the structure, quality, and capabilities of Yext's data sources.
- Design data models and metrics to power innovative customer-facing features and decision-making.
- Lead high-impact data science and ML research from problem framing through prototyping to engineering handoff.
- Leverage AI-first tools and agentic workflows (e.g., Codex, Claude, Coco) for efficient research, coding, and testing.
- Develop and evaluate statistical, ML, and GenAI/LLM solutions across structured and unstructured data.
- Build reproducible prototypes and validate model quality, coverage, and business impact prior to production deployment.
- Partner with Product, Engineering, and business stakeholders to turn ambiguous opportunities into production solutions.
- Collaborate with Engineering to enhance data pipelines, data quality, and overall data stack architecture.
- Clearly communicate findings, trade-offs, and promote evidence-based, responsible AI adoption.
- Mentor teammates and continuously explore emerging AI methods to boost team capabilities.
Requirements
- 3 years of experience in data science, machine learning, or data analytics.
- Proficiency in Python and SQL for data analysis, modeling, and experimentation.
- Solid understanding of statistics, supervised/unsupervised learning, and model validation techniques.
- Experience with data modeling, data warehousing, and preparing datasets for analytical and product use.
- Familiarity with generative AI/LLM applications (e.g., RAG, prompt engineering, agentic workflows, evaluation).
- AI-first mindset utilizing AI coding assistants (e.g., Codex, Claude) while ensuring quality and security.
- Hands-on experience in cloud environments (AWS, GCP, or Azure).
- Strong problem-solving ability and comfort working independently through ambiguity.
- Excellent communication and cross-functional collaboration skills.
- Bachelor's or Master's in Computer Science, Engineering, Math, or equivalent practical experience.