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 collboratively 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 of 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 in 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.)

#LI-JB2

Pay ranges at Yext are established based on an analysis of salaries for positions with a similar level of accountability and impact in the relevant labor market. Salary levels are expected to change to reflect an employee's job performance (results and impact) over time. Salaries at the time of hire are typically offered in the lower to middle of the above-referenced range in order to provide the opportunity to reflect performance-based increases over time. In addition to base salaries, employees at Yext are typically eligible for a comprehensive package of benefits including medical, dental and vision benefits; life insurance; short term and long-term disability; 401(k) retirement plan; and vacation and sick leave. Successful candidates may also be eligible for equity (stock) based compensation and/or variable pay programs based on performance relative to goals and targets.

Annual Base Pay Range

$124,650-$207,500 USD