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.
- 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.
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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.
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Skills Required
- 3+ years of experience in data science, machine learning, or data analytics
- Proficiency in Python and SQL
- Understanding of statistics, supervised and unsupervised learning, and model validation techniques
- Experience with data modeling, data warehousing, and preparing datasets for analytical and product use
- Familiarity with generative AI and LLM applications, including RAG, prompt engineering, agentic workflows, or evaluation
- Experience using AI coding assistants such as Codex or Claude while ensuring quality and security
- Hands-on experience with AWS, GCP, or Azure
- Strong problem-solving skills and ability to work independently through ambiguity
- Excellent communication and cross-functional collaboration skills
- Bachelor’s or Master’s degree in Computer Science, Engineering, Math, or equivalent practical experience
What the Team is Saying
Yext Compensation & Benefits Highlights
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Healthcare Strength — Health insurance is often described as comprehensive with strong coverage options and generally positive experiences. Plan breadth and quality are viewed as a relative strength of the package.
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Parental & Family Support — Paid parental leave is frequently characterized as generous, with multiple mentions of extended leave periods and high satisfaction. This area consistently stands out as one of the most valued benefits.
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Leave & Time Off Breadth — Time off is presented as flexible or unlimited alongside paid holidays and sick time. Employees often highlight the practicality and appeal of the PTO structure, contingent on workload and team norms.
Yext Insights
What We Do
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.
Why Work With Us
At Yext, we bring together curious thinkers and passionate problem-solvers who want to make a real impact. We celebrate internal growth, open communication, and creative ownership in a One Team environment. Here, individual growth fuels collective success — and everyone has a voice in shaping what we build next.
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Yext Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
