About the Company
Yext (NYSE: YEXT) is the enterprise agentic marketing platform. AI is changing how customers find brands, and Yext gives enterprises the infrastructure to compete: Scout analyzes 10 billion signals monthly across four AI models to surface where you're losing and why, the Knowledge Graph maintains the verified data AI cites, and content generation and distribution agents syndicate brand content across LLMs, listings, social platforms, and review sites in real time. Thousands of brands in financial services, healthcare, retail, hospitality, and food rely on Yext to win across AI and traditional search. Join us and experience firsthand why we are consistently recognized as a Best Place to Work globally by Built In, Fortune, and Great Place To Work®.
About the Role
As an Associate Data Scientist you will be responsible for analyzing data, interpreting results, training models, and expanding Yext’s algorithmic product features. You’ll work with frontier LLMs, SQL, and Python to collect data, filter and transform data, train and fit models, and evaluate AI agents and their performance. Yext clients cover a tremendous breadth of industries. We are seeking data scientists excited to discover opportunities in data across a wide variety of business domains. You will work collaboratively with cross-team partners in software engineering, product management, and strategy.
What You’ll Do
- Data analysis, filtration and quality assurance. Development of high quality Data Products to support internal and external stakeholders alike.
- Create context windows, tooling, instructions and evaluation frameworks for agentic tools, and evaluating their performance.
- Work closely with other Engineering and Product colleagues to advance the development of complex and sophisticated algorithmic product features.
- Communicate and clearly present results verbally, in writing and graphically.
- Propose ideas and solutions to problems observed during the course of other assignments.
What You’ll Have
- Programming experience in Python.
- Data Analysis experience in SQL.
- Past experience with agentic programming tools such as Claude Code, Codex, AMP, Cursor, or Google Antigravity; familiarity with working in a Console environment and using version control systems like Github.
- Autodidactic, Self directed – You are able to dive into a new unfamiliar problem domain and start learning about it – You are comfortable with uncertainty and project evolution.
- Effective communicator, a good writer, and know effective means of visually displaying quantitative information.
- Effective user of team collaboration tools in the Atlassian stack, specifically Jira and Confluence.
- Multitasking and prioritization skills to respond in a timely manner to colleagues.
Bonus Points
- Quantitative Degree (e.g. Math, Physics, Computer Science, Operations Research, Engineering, Life Sciences, etc.).
- Experience with AWS, Linux and Mac environments.
- Past experience working in an analytical capacity (e.g. any kind of analytical role) or building data products.
- Experience in statistical approaches in Python, Excel, or R.
- Experiences with the machine learning, data processing and visualization packages (e.g. Pandas, Numpy, scikit-learn, Matplotlib, D3.js, etc.).