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Data Scientist
Budapest, Hungary
Actively hiring, first seen by us today- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign data models and metrics for customer-facing features
Lead data science and ML research from prototype to engineering handoff
Develop statistical, ML, and GenAI/LLM solutions for structured and unstructured data
Validate prototype model quality and business impact before production
Enhance data pipelines and data quality with Engineering
From the employer’s posting
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.
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.
Collaborate with Engineering to enhance data pipelines, data quality, and overall data stack architecture.
Education & alternatives
- Excellent communication and cross-functional collaboration skills. - Bachelor’s or Master’s in Computer Science, Engineering, Math, or equivalent practical experience. #LI-JS1
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 3, 2026today
- Recorded sightings
- 2
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
YEXT is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- GCP
Where the posting names them
- 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.
- 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.
Your next step
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Job description
Yext (NYSE: YEXT) is the enterprise agentic marketing platform. Built on the world's most comprehensive structured data platform for local businesses, Yext gives brands and their partners the visibility intelligence to win every moment of discovery – across AI and traditional search. Yext's API-first architecture connects structured data to APIs, MCP servers, and generative interfaces, so partners and developers can build purpose-built experiences on the same infrastructure powering Yext's own products. Thousands of brands and digital marketing partners in financial services, healthcare, retail, hospitality, and food rely on Yext to manage, measure, and optimize visibility at scale. For more information, visit yext.com.
In 2024, Yext acquired Hearsay Systems, bringing together two industry leaders to form one unified organization. By combining Yext’s brand visibility expertise with Hearsay’s best-in-class compliant engagement solutions, we’re delivering even greater value to our customers. Our integrated approach unlocks a deeper set of data, insights, and recommendations — empowering brands to convert prospects into customers faster and more effectively.
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.
What You'll Do
- 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.
What You Have
- 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.
#LI-JS1
#LI-Hybrid
Yext is an equal opportunity employer committed to building a results-driven, engaging culture where every employee has the opportunity to contribute to the success of the Company, perform at the highest possible level, and grow their skills and capabilities. Yext welcomes employees and applicants of all backgrounds and demographics, and does not engage in discrimination on the basis of any protected characteristic recognized under applicable law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. The Company believes a broad variety of life experiences across the Yext team is critical to its mission to help every business in the world be visible everywhere customers search. By seeking out fresh perspectives and fostering a positive interview experience and employee experience, Yext can remain at the forefront of innovation, and better serve its customers.
It is Yext’s policy to provide reasonable accommodations to people with disabilities as required by applicable law. If you have a disability that requires an accommodation in completing this application, interviewing, or participating in the employee selection process, please complete this form.
Security Alert
All legitimate Yext communications come from @yext.com email addresses. Messages from other domains (for example, @yext.team) are not authorized and are likely fraudulent. If you receive a message that seems suspicious, do not share personal information, click on links, or provide payment. Instead, please report the communication to security@yext.com.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Budapest, Hungary
#LI-JS1 #LI-Hybrid Yext is an equal opportunity employer committed to building a results-driven, engaging culture where every employee has the opportunity to contribute to the success of the Company, perform at the highest possible level, and grow their skills and capabilities. Yext welcomes employees and applicants of all backgrounds and demographics, and does not engage in discrimination on the basis of any protected characteristic recognized under applicable law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. The Company believes a broad variety of life experiences across the Yext team is critical to its mission to help every business in the world be visible everywhere customers search. By seeking out fresh perspectives and fostering a positive interview experience and employee experience, Yext can remain at the forefront of innovation, and better serve its customers.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.