Sr. Data Scientist

Quizlet; San Francisco, New York (CA, NY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health insurance

401k with company match

Paid vacation days (20)

Wellness benefits

Learning resources access

Job summary

Quizlet is hiring a Data Scientist for the Content Platform & Experience team. You will ensure data quality across content, search and Coach data, define key metrics, and support high-stakes experiments. Approximately 30% of time is on data engineering to optimize the search data pipeline.

You will own dbt models, data contracts, and reproducible datasets to support search ranking and recommendations, while collaborating with product and data teams in a hybrid SF/NYC office setup.

Qualifications

• 4+ years in data science or product analytics with quantitative degree.
• Advanced SQL and Python proficiency.
• Experience designing and analyzing A/B tests with statistics.
• Data modeling in a warehouse (dbt on BigQuery) with data contracts.
• Working knowledge of batch pipelines (Airflow) and incremental loads.
• Ownership of data quality for a product area with instrumentation and validation.
• Experience building training/evaluation datasets from product logs.
• Ability to help non-technical partners self-serve data via dashboards/docs.

Responsibilities

• Own data quality used to measure domain health and drive experiments.
• Write tracking plans and data contracts for new features.
• Define engagement metrics and publish them in Omni dashboards weekly.
• Design and analyze high-stakes A/B tests for search and features.
• Own dbt models and contract tests powering search indexes and datasets.

Skills

Data science

SQL

Python

A/B testing

dbt

BigQuery

Airflow

Data quality

Training data

Communication

Education

Statistics/CS/Economics/Math degree

Tools

dbt

BigQuery

Airflow

Job description

About Quizlet:

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.

Why Join Quizlet?

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

About the Team:

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.

About the Role:

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.

In this role, you will:

• 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.
  

What you bring to the table:

• 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)

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:

• 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!

In Closing:

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