Skip to content
Esc
Internships in Canada
New-grad roles in Canada
Remote roles
Roles that show pay
Postings at high ghost risk
PayWhat student tech roles in Canada pay
Check a linkPaste a posting to see its real age and ghost risk
JobsEvery open tech role
CompaniesWho fills fastest, who leaves postings up
Hiring calendarWhen employers open intern and new-grad roles
Skills gapWhat postings ask for that you don't have
Your resumeScore and fixes
Your matchesOpen roles ranked by your resume
ApplicationsSaved, applied, interviewing, offers
SettingsTheme, text size, motion
How it works

↑ ↓ to move, Enter to open? every shortcut

Keyboard shortcuts

CtrlKor/
Search employers, postings and pages
JorK
Next or previous posting in a list
O
Open the posting's page
Enter
Open it in the preview, on wide screens
S
Save or unsave it
?
This list
Esc
Close
Yext

Data Scientist

  • Seen live on Yext's site today
  • Mid level
Pay
Not stated
Location
Budapest, Hungary
Open for
First seen today
First seen
Nov 4, 2026

Posting record

No flags

First seen today

The posting's record, oldest first
  1. Yext's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age.

Last checked Nov 4, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

Upload your resume

What it asks of you

3+ years of experience
“3+ years of experience in data science, machine learning, or data analytics.” (quoted from the posting)
Equivalent experience accepted instead of a degree
“Bachelor’s or Master’s in Computer Science, Engineering, Math, or equivalent practical experience.” (quoted from the posting)

What the posting discloses

AI screening
Uses AI to screen applicants
Familiarity with generative AI/LLM applications (e.g., RAG, prompt engineering, agentic workflows, evaluation). (quoted from the posting)

Not stated: Pay, real vacancy.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

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 .

Something wrong with this posting?