Edtech.com's Summary

Quizlet is hiring a Sr. Staff Marketing Data Scientist to lead the design and operation of the top-of-funnel marketing measurement systems. The role involves building incrementality tests, marketing mix models, managing multiparty data sources, and delivering actionable insights for budget and targeting decisions without direct people management.

Highlights

Design and analyze geo/user holdouts, heavy-ups, synthetic controls, CUPED/diff-in-diff, and brand-lift experiments to measure marketing incrementality.
Build and automate an always-on testing calendar for multi-channel marketing effectiveness.
Operate and calibrate marketing mix models (MMM) and integrate MMM with experimental and platform data for budgeting decisions.
Integrate multiparty data from ad platforms (Meta, Google, TikTok, etc.), MMPs (AppsFlyer, Adjust, Branch), analytics tools (GA4, GTM), and internal events.
Manage data challenges such as fragmented IDs, SKAN/ATT, cookie loss, missing data, and deduplication.
Develop executive-ready reports linking marketing metrics to user sign-ups, retention, and long-term value.
Lead vendor evaluation and management, including writing SOWs and quality assurance for MMM vendors and analytics partners.
Required skills include advanced SQL, Python or R, BigQuery/Snowflake/Redshift, experiment design and analysis, and strong communication skills.
7-10+ years of marketing analytics/data science experience with hands-on TOF growth measurement and MMM expertise.
Compensation ranges from $225,000 - $305,000 base salary plus stock options, with comprehensive benefits and support for professional growth.

Sr. Staff Marketing Data Scientist Full Description

About Quizlet:

At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly.

We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. Weâre energized by the potential to power more learners through multiple approaches and various tools.

Letâs Build the Future of Learning

Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential.

About the Team:

Our Data Science team at Quizlet partners with the Product, Marketing, and Finance teams to define the metrics that matter and to turn noisy signals into clear, causal decisions. This role builds and operates the TOF measurement system that informs spend, audiences, creative, and channel mix.

About the Role:

Youâll design trusted incrementality and MMM measurement, stitch multiparty data (ad platforms, AppsFlyer/MMP, web/app analytics, internal events), and turn models into concrete budget and targeting decisions. You will not manage people; youâll lead through technical depth and repeatable delivery.

Weâre happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization.

In this role, you will:

Own cross-channel incrementality: stand up and analyze geo/user holdouts, heavy-ups, synthetic controls, CUPED/diff-in-diff, and brand-lift; produce incremental qualified visits / sign-ups with uncertainty

Build an always-on testing calendar and power analyses; automate ingestion and readouts
Triangulate MMM + experiments + platform signals
Operate or co-own an MMM (in-house or vendor) and calibrate to holdouts; define decision rules (MMM for budgeting, experiments for validation, platform MTA for ops)
Produce response curves and marginal dollar recommendations by channel/geo/audience; model payback windows (30-day to multi-year LTV) and saturation guardrails
Wrangle multiparty data (imperfect by default)
Join ad platform exports/APIs (Meta, Google, YouTube, TikTok, Snap, DV360/TTD, affiliate/influencer), MMP data (AppsFlyer/Adjust/Branch), GA4/GTM, and internal product/financial events
Handle ID fragmentation, SKAN/ATT, cookie loss, missingness, and deduplication; document assumptions and data quality SLAs
Ship decision-driving reporting: build exec-ready views (e.g., brand search, share of voice, qualified-visit rate, creative learning) tied to sign-ups, retention, and LTV

Run source-health monitoring with forward projections and risk flags

Evaluate and manage MMM vendors, GTM/analytics implementers, survey/brand trackers, CDPs, and clean-room partners; write SOWs, define success metrics, and QA their models/tags
Make buy-vs-build recommendations and own integrations end-to-end

What you bring to the table:

7â10+ years in marketing analytics/data science (consumer or subscription businesses), with recent hands-on TOF growth work
Youâve designed, powered, run, and interpreted geo holdouts, heavy-ups, synthetic control; you know pitfalls (seasonality, contamination, spillovers) and how to validate assumptions
Built or owned an MMM (or ran a vendor) including spec/priors/regularization, calibration to experiments, and turning results into allocation decisions

Multiparty data fluency in the following:

MMPs: AppsFlyer (preferred), Adjust, or Branch (SDK events, postbacks, SRNs, SKAN schemas)
Ad platforms & APIs: Meta/Google/TikTok/Snap/YouTube/DV360/TTD; influencer/affiliate platformsWeb/App analytics & tagging:GA4, GTM (incl. server-side), consent/attribution config; event/identity standards across web/app.
Data engineering literacy: SQL (advanced), Python or R (pandas/NumPy; PyMC/Stan a plus), BigQuery/Snowflake/Redshift, dbt; basic orchestration (Airflow/Dagster) and CI hygiene

Experimentation rigor in power/sizing, CUPED, pre-trend checks, non-compliance handling, synthesis across tests; can teach others
Communication with crisp narratives that move spend and targeting decisions; comfortable presenting to Directors/VPs
Vendor leadership with selection, SOWs, success criteria, and hold-vendors-accountable modeling/tagging reviews

Bonus points if you have:

Clean rooms (ADS Data Hub, Amazon Marketing Cloud), media mix for CTV/offline
Brand tracking linked to search and site traffic; creative-analytics pipelines and taxonomies
International growth and seasonal categories (education a plus)

Compensation, Benefits & Perks:

Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $225,000 - $305,000, depending on location and experience, as well as company stock options
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

Why Join Quizlet?

ð Massive reach: 60M+ users, 1B+ interactions per week

ð§ Cutting-edge tech: Generative AI, adaptive learning, cognitive science

ð Strong momentum: Top-tier investors, sustainable business, real traction

ð¯ Mission-first: Work that makes a difference in peopleâs lives

ð¤ Inclusive culture: Committed to equity, diversity, and belonging

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, weâre excited about passionate people joining our teamâeven if you donât 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.â

Quizletâs 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. Come join us!

To All Recruiters and Placement Agencies:

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.

#LI-FT

Original Job Description