Data Scientist

Yext (NYSE : YEXT) is the leading digital presence platform for multi-location brands, with thousands of customers worldwide. With one central platform, brands can seamlessly deliver consistent, accurate, and engaging experiences and meaningfully connect with customers anywhere in the digital world. Our AI and machine learning technology powers the knowledge behind every customer engagement, which is only possible through our team of innovators and enthusiastic collaborators. Join us and experience firsthand why we are consistently recognized as a ‘Best Place to Work’ globally by industry leaders such as Built In, Fortune, and Great Place To Work®!

We’re excited to share that Yext has recently joined forces with Hearsay Systems, forming a unified organization that is stronger than ever. This strategic acquisition enhances our ability to deliver world-class solutions by combining industry-leading digital presence management with compliant engagement solutions across social media, text, and voice. As we begin this exciting new chapter together, we’re looking for passionate, driven individuals to help us integrate and continue to innovate in our shared mission.

This role will be part of the Hearsay team, now an integral part of Yext.

This is a hybrid position, offering the flexibility of remote telework with the requirement to be on-site at least one day per week on average. Occasional adjustments may be made based on team needs or project demands.

What You'll Do

• Lead or contribute to strategic, high-impact machine learning and data science projects that drive product improvements and support informed business decisions.
• Develop, validate, and continuously improve ML models using structured and unstructured data.
• Identify, clean, and prepare relevant datasets while ensuring data quality and integrity.
• Collaborate closely with Product, Engineering, and business stakeholders to define data requirements and translate insights into actionable outcomes.
• Apply large language models (, GPT, LLaMA) for specific use cases, using techniques such as RAG or instruction tuning.
• Stay current with advancements in ML, generative AI, and NLP, applying emerging methods when appropriate.
• Help promote and eventually act as an advocate for data-driven decision making. Foster a healthy data culture by mentoring colleagues and running knowledge-sharing sessions.
• Promote the importance of data science within the organization.
• Contribute to enhancements of the data stack and support agile delivery processes.

What You Have

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LI-Hybrid

Yext is committed to building an inclusive and diverse culture where every person is seen, heard, and valued. We believe in equal employment opportunity and welcome employees and applicants of all races, colors, ethnicities, religions, creeds, national origins, ancestries, genetics, sexes, pregnancy or childbirth, sexual orientations, genders (including gender identity or nonbinary or nonconformity and / or status as a trans individual), ages, physical or mental disabilities, citizenships, marital, parental and / or familial status, past, current or prospective service in the uniformed services, or any characteristic protected under applicable law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Yext’s policy to provide reasonable accommodations to people with disabilities as required by law. If you have a disability that requires an accommodation in completing this application, interviewing, or participating in the employee selection process, please complete .