Data Scientist

Yext (NYSE: YEXT) aids organizations in constructing digital experiences across any channel on our open and composable platform. The Yext Digital Experience Platform gathers and organizes content to provide AI-led experiences for any organization's customers, employees, or partners. For over 15 years, thousands of companies globally have trusted Yext to create seamless customer experiences on a large scale across search engines, websites, mobile apps, and hundreds of other digital touchpoints. Learn more at yext.com. As a Data Scientist, you will shape how data is collected, transformed, and used to develop essential new capabilities and features for Yext's products! We manage vast amounts of structured master data on behalf of some of the world's largest companies and collect transactional data through end-user-facing applications we host directly for these clients. Our mission is to deeply understand user intent, so we can deliver relevant and accurate answers to questions, everywhere people interact with our customer's digital experiences (mapping services, websites, search, chat, etc.). Yext clients cover a tremendous breadth of industries. We are seeking data scientists excited to discover opportunities in data across a wide scope of business domains! You will work collaboratively with cross-team partners in software engineering and product management. You will participate fully in the product development lifecycle and make pragmatic decisions about the design, training, and deployment of machine learning models driving key product features. We are a small, agile and fast-paced team prioritizing high progress and research velocity. What You'll Do: - Work closely with engineers and product managers to ship very cool new ML-powered features in Yext's products. - Tackle "full stack" Data Science problems - you will implement solutions to data science problems in a production environment. This means you'll be adept at solving all the challenges that will arise, such as data cleanliness, performance, unexpected feedback loops, and concept drift. - Data Scientists must help convert raw information into knowledge that enables collaborators to make good decisions. You will articulate Data Science and machine learning concepts to different audiences in an impactful way. - You will investigate technical details when required, while demonstrating great judgment and systems thinking about when to simplify, prioritize and abstract. What You Have: - Enthusiasm for LLMs. Up to date on the latest architectures for all size problems. - Experience working with GPU clusters for training and inference of LLMs. - Expertise in model alignment and evaluation. - Expertise in Pandas, scikit-learn, matplotlib, PyTorch, CUDA and related tools. - Ability to cope with "glue" problems - shell scripting, debugging python environment problems, workflow automation. Experience with AWS, Linux, and Mac environments. - Expertise in databases like Snowflake and MySQL, or Presto, Redshift, or other popular systems. - Knowledge of statistics and good experimental practices. - Knowledge of unsupervised machine learning and information retrieval and mining. Bonus Points: - You have an advanced degree in a quantitative field, e.g., computer science, mathematics, business analytics, statistics, applied mathematics, economics, or operations research. - You are self-motivated and independent – You are able to dive into a new unfamiliar problem domain and start learning about it. - You are an effective communicator with phenomenal visual communication skills. - You are excited to work on training custom LLMs, analyzing data in warehouses, and writing high-quality python code. 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, 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. If you have a disability that requires an accommodation in completing this application, interviewing, or participating in the employee selection process, please complete a certain form.