Mammoth Growth is a modern data analytics consultancy. We use our unique combination of agnostic tools expertise and data-driven decision making to help our clients grow and thrive in an ever-changing marketplace. We are world-class business consultants who optimize systems to deliver measurable business outcomes. We have completed 850+ engagements with clients in all areas - e-commerce, SaaS, media, D2C, B2B - from start-ups to enterprise. 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.
Mammoth Growth is seeking a Marketing Analyst / Data Scientist to execute analysis and 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 (before Covid and forever), 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.
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