Marketing Data Scientist

About Us

Role Overview

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).
• Open to work in US time

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.

This role is eligible for hire in India.

Equal ​Employment Opportunity Statement ​(EEO)