Associate Data Scientist

Yext•Washington, DC

About The Position

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.

Requirements

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

Nice To Haves

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.)

Responsibilities

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