ExecutivePlacements.com
Sr. Staff Marketing Data Scientist
ExecutivePlacements.com, San Francisco, California, United States
Sr. Staff Marketing Data Scientist
Join to apply for this role at
ExecutivePlacements.com .
Quizlet
invites you to help shape the future of learning through data‑driven decisions.
About Quizlet Quizlet's 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, with two‑thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly.
About The Team The Data Science team partners with Product, Marketing, and Finance to create data pipelines, measurement models, and actionable insights. This role builds and operates the top‑of‑funnel measurement system that informs spend, audiences, creative, and channel mix.
About The Role This onsite position in our San Francisco office requires employees to be in the office a minimum of three days per week—Monday, Wednesday, and Thursday—unless otherwise directed by management.
In This Role, You Will
Own cross‑channel incrementality: design 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 feed readouts.
Triangulate MMM + experiments + platform signals.
Operate or co‑own an MMM (in‑house or vendor) and calibrate to holdouts; define decision rules for budgeting, experiments, and MTA.
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 (ad platforms, AppsFlyer/Adjust/Branch, GA4/GTM, internal events).
Handle data fragmentation, SKAN/ATT, cookie loss, missingness, and deduplication; document assumptions and data‑quality SLAs.
Ship decision‑driving reporting: executive‑ready views (brand search, share of voice, satisfied‑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, analytics implementers, survey/brand trackers, CDPs, and clean‑room partners; write SOWs, define success metrics, and QA 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.
Experience designing, powering, running, and interpreting geo holdouts, heavy‑ups, synthetic controls, with awareness of pitfalls (seasonality, contamination, spillovers) and strategies to validate assumptions.
Built or owned an MMM (or ran a vendor) including spec/priors/regularization, calibration to experiments, and translating results into allocation decisions.
Multiparty Data Fluency
MMPs: AppsFlyer (preferred), Adjust, or Branch.
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/R (pandas, NumPy, PyMC/Stan a plus), BigQuery/Snowflake/Redshift, dbt; basic orchestration (Airflow/Dagster) and CI hygiene.
Experimentation rigor: power/sizing, CUPED, pre‑trend checks, non‑compliance handling, synthesis across tests; can teach others.
Communication: crisp narratives that move spend and targeting decisions; comfortable presenting to Directors/VPs.
Vendor leadership: selection, SOWs, success criteria, hold‑venders‑accountable modeling/tagging reviews.
Bonus Points If You Have
Experience with clean rooms (ADS Data Hub, Amazon Marketing Cloud) and 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 an inclusive environment for all employees. Salary transparency helps mitigate unfair hiring practices and pay gaps.
Competitive salary range (base $225,000 – $305,000), market‑competitive, plus company stock options.
20 vacation days and 40 hours of paid time off for volunteer programs.
Health, dental, vision insurance (100 % employee, 75 % dependent), 401(k) with match.
LinkedIn Learning and other professional growth resources.
Paid family leave, FSA, HSA, commuter benefits, wellness benefits.
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: Commitment to equity, diversity, belonging.
In Closing At Quizlet, we value unique perspectives and encourage everyone who is passionate about learning to apply— even if you don’t meet every box. We foster an environment of initiative, curiosity, and respectful communication. Equity, diversity, and inclusion are core principles we uphold with a transparent, collaborative interview process.
#J-18808-Ljbffr
ExecutivePlacements.com .
Quizlet
invites you to help shape the future of learning through data‑driven decisions.
About Quizlet Quizlet's 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, with two‑thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly.
About The Team The Data Science team partners with Product, Marketing, and Finance to create data pipelines, measurement models, and actionable insights. This role builds and operates the top‑of‑funnel measurement system that informs spend, audiences, creative, and channel mix.
About The Role This onsite position in our San Francisco office requires employees to be in the office a minimum of three days per week—Monday, Wednesday, and Thursday—unless otherwise directed by management.
In This Role, You Will
Own cross‑channel incrementality: design 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 feed readouts.
Triangulate MMM + experiments + platform signals.
Operate or co‑own an MMM (in‑house or vendor) and calibrate to holdouts; define decision rules for budgeting, experiments, and MTA.
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 (ad platforms, AppsFlyer/Adjust/Branch, GA4/GTM, internal events).
Handle data fragmentation, SKAN/ATT, cookie loss, missingness, and deduplication; document assumptions and data‑quality SLAs.
Ship decision‑driving reporting: executive‑ready views (brand search, share of voice, satisfied‑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, analytics implementers, survey/brand trackers, CDPs, and clean‑room partners; write SOWs, define success metrics, and QA 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.
Experience designing, powering, running, and interpreting geo holdouts, heavy‑ups, synthetic controls, with awareness of pitfalls (seasonality, contamination, spillovers) and strategies to validate assumptions.
Built or owned an MMM (or ran a vendor) including spec/priors/regularization, calibration to experiments, and translating results into allocation decisions.
Multiparty Data Fluency
MMPs: AppsFlyer (preferred), Adjust, or Branch.
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/R (pandas, NumPy, PyMC/Stan a plus), BigQuery/Snowflake/Redshift, dbt; basic orchestration (Airflow/Dagster) and CI hygiene.
Experimentation rigor: power/sizing, CUPED, pre‑trend checks, non‑compliance handling, synthesis across tests; can teach others.
Communication: crisp narratives that move spend and targeting decisions; comfortable presenting to Directors/VPs.
Vendor leadership: selection, SOWs, success criteria, hold‑venders‑accountable modeling/tagging reviews.
Bonus Points If You Have
Experience with clean rooms (ADS Data Hub, Amazon Marketing Cloud) and 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 an inclusive environment for all employees. Salary transparency helps mitigate unfair hiring practices and pay gaps.
Competitive salary range (base $225,000 – $305,000), market‑competitive, plus company stock options.
20 vacation days and 40 hours of paid time off for volunteer programs.
Health, dental, vision insurance (100 % employee, 75 % dependent), 401(k) with match.
LinkedIn Learning and other professional growth resources.
Paid family leave, FSA, HSA, commuter benefits, wellness benefits.
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: Commitment to equity, diversity, belonging.
In Closing At Quizlet, we value unique perspectives and encourage everyone who is passionate about learning to apply— even if you don’t meet every box. We foster an environment of initiative, curiosity, and respectful communication. Equity, diversity, and inclusion are core principles we uphold with a transparent, collaborative interview process.
#J-18808-Ljbffr