Marketing Data Scientist

About Quillbot

QuillBot was founded in 2017 with a mission to help students and professionals—especially those learning English—strengthen their writing. Today, we help over 56 million people around the world create great things. Whether you’re writing, designing, coding, or collaborating, QuillBot is a place where anyone can create at the speed of thought. Our AI-powered tools help you think clearly, communicate effectively, and create beautifully—across every platform, in any format, at any skill level. If you’re passionate about using technology to make the path from inspiration to execution more accessible, intentional, and relevant, come join us.

Job Summary

We are looking for a Data Scientist focused on Marketing Analytics to elevate decision‑making for the Marketing org. You will own the end‑to‑end analytics workflow—from data engineering and statistical modeling to experimentation and dashboarding—turning complex data into insight‑rich narratives that move the business. Reporting to the Global Marketing Operations Manager, you’ll partner closely with channel owners and cross‑functional stakeholders to design tests, quantify impact, and surface growth opportunities at global scale.

Key Responsibilities

• Supporting in building, automating, and maintaining self‑serve dashboards in Amplitude and Chargebee covering acquisition, activation, engagement, retention, and revenue metrics.
• Audit, refine, and evolve our current single‑touch attribution model into a robust multi‑touch attribution framework spanning paid media, influencers, organic social, SEO, and content touchpoints.
• Design and execute incrementality tests (geo‑split, hold‑out, PSA, audience suppression) to quantify true lift of paid campaigns, influencer activations, product campaigns, etc.
• Develop statistically sound methodologies—propensity matching, causal impact, Bayesian hierarchical modeling—to measure the business impact of influencer programs (organic & paid) and organic social initiatives.
• Partner with channel owners to translate insights into channel mix, budget allocation, and creative optimizations that drive efficient MAU, installs and revenue growth.
• Conduct deep‑dive analyses on customer cohorts, funnel friction points, and landing experiences to inform growth hypotheses.
• Collaborate with Data Engineering to improve data pipelines, tracking accuracy, and event instrumentation in Amplitude.
• Communicate complex analyses in clear, compelling narratives to executives and democratize insights across Marketing, Product, and RevOps teams.

Requirements

• 5+ years in Marketing Analytics, Growth Data Science, or similar role at a high‑growth consumer company.
• Hands‑on expertise with Amplitude and Chargebee is a big plus.
• Advanced SQL and data‑wrangling skills; proficiency in Python or R for statistical modeling and experiment design.
• Deep experience building and validating attribution models (last‑touch, time‑decay, data‑driven, Shapley, Markov) and translating results into actionable recommendations.