{"id":3682422,"url":"https://alion.io/job/yext-data-scientist","title":"Data Scientist","company":{"id":174630,"name":"Yext","domain":"yext.com","url":"https://alion.io/company/yext-2","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":6,"ghost_share":0,"stale_share":0.833,"repost_share":0,"time_to_fill_p50_days":44,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Budapest, Hungary"],"countries":["HU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-03T10:12:28Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-04T09:16:29Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"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.\nIn 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. \nAs 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.\nWhat You'll Do\nIdentify product and business opportunities by analyzing the structure, quality, and capabilities of Yext's data sources.\nDesign data models and metrics to power innovative customer-facing features and decision-making.\nLead high-impact data science and ML research from problem framing through prototyping to engineering handoff.\nLeverage AI-first tools and agentic workflows (e.g., Codex, Claude, Coco) for efficient research, coding, and testing.\nDevelop and evaluate statistical, ML, and GenAI/LLM solutions across structured and unstructured data.\nBuild reproducible prototypes and validate model quality, coverage, and business impact prior to production deployment.\nPartner with Product, Engineering, and business stakeholders to turn ambiguous opportunities into production solutions.\nCollaborate with Engineering to enhance data pipelines, data quality, and overall data stack architecture.\nClearly communicate findings, trade-offs, and promote evidence-based, responsible AI adoption.\nMentor teammates and continuously explore emerging AI methods to boost team capabilities.\nWhat You Have\n3+ years of experience in data science, machine learning, or data analytics.\nProficiency in Python and SQL for data analysis, modeling, and experimentation.\nSolid understanding of statistics, supervised/unsupervised learning, and model validation techniques.\nExperience with data modeling, data warehousing, and preparing datasets for analytical and product use.\nFamiliarity with generative AI/LLM applications (e.g., RAG, prompt engineering, agentic workflows, evaluation).\nAI-first mindset utilizing AI coding assistants (e.g., Codex, Claude) while ensuring quality and security.\nHands-on experience in cloud environments (AWS, GCP, or Azure).\nStrong problem-solving ability and comfort working independently through ambiguity.\nExcellent communication and cross-functional collaboration skills.\nBachelor’s or Master’s in Computer Science, Engineering, Math, or equivalent practical experience.\n#LI-Hybrid \nYext 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. \nIt 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.\nSecurity Alert\nAll 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. 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