Senior Staff Marketing Data Scientist

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. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s build the future of learning.

About the Team

Our Data Science team at Quizlet partners with the Product, Marketing, and Finance teams to define the metrics that matter and 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

You’ll 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; you’ll lead through technical depth and repeatable delivery. This is an onsite position in our San Francisco office; employees are required to be in the office at least three days per week.

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

7–10+ years in marketing analytics / data science (consumer or subscription businesses), with recent hands‑on TOF growth work.

You’ve 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 platforms.

Web / 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

Massive reach : 60 M+ users, 1 B+ 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.

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‑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. Come join us!

Seniority level

Not Applicable

Employment type

Full-time

Job function

Engineering and Information Technology

Industries : Software Development

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