Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
San Francisco, CA · New York, NY · San Franciso, CA, United States
Actively hiring, first seen by us 6 days agoWork Location We’re happy to share that this is a hybrid position in our San Francisco/New York office. To support collaboration, we ask employees to be in the office at least two days a week: Wednesday and Thursday. Compensation, Benefits & Perks:
Location type: HybridFrom the employer’s posting
Employment type: Full-timeFrom the employer’s posting
Department: EngineeringFrom the employer’s posting
Will you now or in the future require sponsorship for employment visa status (e.g. H-1B visa status)?From the employer’s application form
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.
Own data quality that we rely on to measure the health of the domain and iterate on experiments.
Own data quality and tracking plans for content, search and Coach data
Define engagement metrics and publish them in Omni dashboards
Design and analyze high-stakes A/B tests across search and AI features
Own dbt models and contract tests that feed search indexes
Build reproducible training and offline-evaluation datasets for ranking models
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.
Own data quality that we rely on to measure the health of the domain and iterate on experiments.
Own data quality that we rely on to measure the health of the domain
Define engagement metrics for content health, search quality and conversational experiences
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
build reproducible training and offline-evaluation datasets for search ranking and recommendation models
At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way.
In the employer’s words · Read in context · Company website ↗
Actively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Day 6
Early. Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
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- 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 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
- 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. What you bring to the table:
- 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
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We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. We’re a $1B+ learning platform used by two-thirds of U.S. high school students and half of college students, powering over 1 billion learning interactions each week.
We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools.
Let’s Build the Future of Learning
Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential.
🌎 Massive reach: 60M+ users, 1B+ interactions per week
🧠 Cutting-edge tech: Generative AI, adaptive learning, cognitive science
📈 Strong momentum: Top-tier investors, sustainable business, real traction
🎯 Mission-first: Work that makes a difference in people’s lives
🤝 Inclusive culture: Committed to equity, diversity, and belonging
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.
Own data quality that we rely on to measure the health of the domain and iterate on experiments.
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.
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
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)
We’re happy to share that this is a hybrid position in our San Francisco/New York office. To support collaboration, we ask employees to be in the office at least two days a week: Wednesday and Thursday.
Collaborate with your manager and team to create a healthy work-life balance
20 vacation days that we expect you to take!
Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice)
Employer-sponsored 401k plan with company match
Access to LinkedIn Learning and other resources to support professional growth
Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits
40 hours of annual paid time off to participate in volunteer programs of choice
We strive to make everyone feel comfortable and welcome!
We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are!
At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.”
Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion.
As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply.
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At this time Quizlet does not accept unsolicited agency resumes and/or profiles.
Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.
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San Franciso, CA, United States
Work Location We’re happy to share that this is a hybrid position in our San Francisco/New York office. To support collaboration, we ask employees to be in the office at least two days a week: Wednesday and Thursday. Compensation, Benefits & Perks:
No clear work-authorization passage found. Eligibility is unconfirmed.