Marketing Data Scientist

Role Overview
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.

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

Qualifications

• 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.
• Strong background in experimentation and incrementality testing methodologies.
• Demonstrated ability to quantify influencer and organic social impact using reach, engagement, and downstream revenue signals.
• Excellent storytelling and visualization skills (dbt, Hex, Tableau, Mode, or similar) with the ability to tailor insights to technical and non‑technical stakeholders.
• Bachelor's or Master's in Statistics, Economics, Computer Science, or related field (or equivalent experience).

Benefits & Perks

• Competitive salary & annual bonus
• Medical coverage
• Life and accidental insurance
• Vacation & leaves of absence (menstrual, flexible, special, and more!)
• Developmental opportunities through education & developmental reimbursements & professional workshops
• Maternity & parental leave
• Hybrid & remote model with flexible working hours
• On-site & remote company events throughout the year
• Tech & WFH stipends & new hire allowances
• Employee referral program
• Premium access to QuillBot

• Benefits and benefit amounts differ by region. A comprehensive list applicable to your region will be provided in your interview process.

Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. We strongly encourage you to apply if you're interested: we'd love to learn how you can amplify our team with your unique experience!

This role is eligible for hire in India.

We are a virtual-first company and have employees dispersed throughout the United States, Canada, India, Israel, Germany, and the Netherlands. We have a market-based pay structure that varies by location. The base pay for this position is dependent on multiple factors, including candidate experience and expertise, and may vary from the amounts listed. You may also be eligible to participate in our bonus program and may be offered benefits, and other types of compensation.

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