> Markdown version of [/jobs/ext/4256388-sr-data-scientist](https://www.wearedevelopers.com/jobs/ext/4256388-sr-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Sr. Data Scientist

- **Company:** Quizlet, Inc.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $161,011 - $211,326
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Airflow, BigQuery, Information Engineering, Data Infrastructure, Data Stores, Statistical Hypothesis Testing, Python (Programming Language), Recommender Systems, Usage Analysis, Feature Store, Chatbots, Sql Optimization, Normalized Discounted Cumulative Gain, Large Language Models, Information Technology, Search Engines, Looker Analytics, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=2c87cacee820af22

## About the Role

* 4+ years in data science or product analytics, with a degree in statistics, computer science, economics, math or another quantitative field
 * Advanced SQL and proficiency in Python
 * Hands-on experience designing and analyzing A/B tests, with solid statistics (hypothesis testing, regression, causal inference basics)
 * Hands-on data modeling in a warehouse (e.g., dbt on BigQuery), including data contract tests
 * Working knowledge of batch pipelines (e.g., Airflow): incremental loads, backfills, and the order changes must ship in
 * Experience owning data quality for a product area: event instrumentation, tracking plans and validation
 * Experience building training or evaluation datasets from product logs
 * A track record of helping non-technical partners self-serve data, through training, documentation or well-designed dashboards
 * Clear written and verbal communication

Bonus points if you have:

 * Experience with Omni, Looker or another BI semantic layer
 * Recommender evaluation (recall, NDCG) or feature stores such as Feast
 * LLM or conversational AI evaluation (e.g., Arize)

## Description

The Content Platform & Experience team owns how learning content is created, found and studied on Quizlet. It spans Content Platform (user-generated study material and its quality and safety), Search, Creation and Conversational AI experience. We partner closely with the Data Platform team, who manage our data stores and with the product team., As the Data Scientist for Content Platform & Experience, your goal is to build trust in our data and enable the team to answer most questions on their own. You'll make sure content, search and Coach data reaches our data store correctly, define the metrics we rely on, focus on high-stakes experiments, search and recommendation evaluation, and measure how well AI Coach helps learners. 30% of the time will be on data engineering efforts, ensuring our search data pipeline is optimized and reliable., * Write tracking plans and data contracts for new features so every launch has trusted usage data from day one.

 * Define engagement metrics for content health, search quality and conversational experiences, and make them available in Omni dashboards the teams use every week.
 * Design and analyze high-stakes A/B tests across search ranking, AI feature rollouts and content features
 * Own the dbt models and contract tests that feed our search indexes, and build reproducible training and offline-evaluation datasets for search ranking and recommendation models.