Data Scientist
Are you an experienced business analyst, data scientist and SEO wizard all wrapped-up into one? If so, then you are exactly who we are looking for!
Mammoth Growth is a modern data analytics consultancy. We are world-class business consultants who optimize systems to deliver measurable business outcomes. Mammoth is trusted by industry leaders from Dropbox to Calendly to verify their data, manage their reporting infrastructure, develop growth strategy and provide recommendations and insights that achieve measurable results. We have completed 850+ engagements with clients in all areas - e-commerce, SaaS, media, D2C, B2B - from start-ups to enterprise.
Mammoth Growth is seeking a Marketing Analyst / Data Scientist to execute casual analysis and high-volume incrementality testing for SEO initiatives. This role will work directly with our clients (Fortune 500 companies) alongside their SEO team and senior data scientists . The primary focus is accelerating testing velocity by executing multi-cell tests using established causal impact frameworks.
Key Responsibilities
Execute incrementality tests using established causal impact frameworks (Google CausalImpact, synthetic controls, matched markets)
Run multiple tests per week to determine statistically significant wins for SEO initiatives
Design and analyze matched market experiments to isolate SEO impact from confounding factors
Implement statistical power analysis to optimize test design and reduce time-to-results
Translate test results into clear, actionable recommendations for SEO roadmap decisions
Monitor SEO performance metrics and surface meaningful performance deviations
Build repeatable analytical workflows that standardize test execution
Document methodologies for knowledge transfer to internal teams
Required Qualifications
Technical Skills
Proficient in Python (pandas, numpy, statsmodels) or R
Experience with massive datasets - TB scale
Strong SQL skills for data extraction and manipulation
Statistical foundations: experimental design, hypothesis testing, regression analysis, time series basics
Experience with A/B testing or incrementality testing (minimum 10+ tests executed)
Familiarity with causal inference methods (synthetic controls, matched markets, difference-in-differences, causal impact)
Experience with BI platforms (Looker, Tableau, Mode, or similar)
Version control using Git/GitHub
Experience
4+ years analyzing digital marketing performance (SEO, paid search, e-commerce, or similar channels)
Hands-on experience executing tests at volume - comfortable running multiple tests per week/month
Understanding of e-commerce metrics, conversion funnels, and attribution
Client-facing or embedded team experience (consulting, agency, or similar environments)
Professional Skills
Clear communicator who can explain statistical concepts to non-technical stakeholders
Execution-focused with ability to balance speed and statistical rigor
Self-directed and able to work independently on defined tasks
Collaborative approach when working with cross-functional teams
Preferred Qualifications
Direct experience with Google CausalImpact, Google Cloud Platform products, synthetic control methods, or difference-in-differences approaches
SEO or organic search analytics background
Agency or consulting experience
Track record of executing 20+ incrementality tests
Bachelor's degree in Statistics, Economics, Mathematics, Data Science, or related quantitative field (Master's a plus)
Experience with testing automation or workflow optimization
We love working with people who like to laugh, smile and joke around.
We provide rapid career advancement, exposure to a huge range of business challenges, amazing clients and competitive compensation.
We are 100% Remote. Our team is fully distributed, allowing you the flexibility of working from home. At this time, we are unable to provide sponsorship. Must be a resident or green card holder of the U.S.,U.K. or Canada.
Benefits
Medical insurance
Vision insurance
401(k)
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