Who is Serotonin
Serotonin is the top go to market firm for transformative technologies, specializing in marketing, strategy, recruiting, and legal services. With a global team of 90 across 15 countries, Serotonin has supported over 300 clients in consumer tech, web3 infrastructure, digital assets, venture capital, and AI since its launch in 2020. Delivering end-to-end go-to-market solutions across all major marketing channels - including public relations, growth marketing, on-chain analytics, content, research, social, and design - Serotonin accelerates global innovation. At the core of our business is the Serotonin Platform, serving as a central nucleus for the web3 ecosystem, connecting builders and founders with essential resources to drive business growth.
About the Role
We're looking for a versatile data professional who combines strong analytical and data science capabilities with the engineering skills to build and maintain the infrastructure behind those analyses. This is a hybrid role perfect for someone who loves both discovering insights and building scalable systems to deliver them. You'll work across the entire data stack - from pipeline development to statistical modeling. Leveling is flexible based on experience.
Responsibilities
Build and maintain data pipelines that power both ad-hoc analyses and production dashboardsDevelop statistical models and data science solutions while also implementing the infrastructure to deploy themCreate self-serve analytics tools and datasets that empower stakeholders across the organizationDesign experiments and perform statistical analyses to measure product and marketing initiativesBuild data models in our warehouse that balance analytical flexibility with performancePartner directly with product, marketing, and leadership teams to identify opportunities and measure impactOwn the full lifecycle of data products - from initial exploration to production deployment
Requirements: Core Technical Skills
Strong experience with modern data stack tools (e.g., dbt, Airflow/Dagster, Snowflake, BigQuery, Redshift, or similar)Proven ability to design and manage ETL pipelines and database architecturesAdvanced SQL skills and high proficiency in Python for both data analysis and engineeringUnderstanding of data modeling principles (Kimball, Data Vault, or similar)Experience with cloud data platforms (AWS, GCP, or Azure)
Requirements: Analytical & Data Science Expertise
Strong statistical analysis skills with hands-on experience using Python data science stack (pandas, NumPy, scikit-learn)Experience with A/B testing, causal inference, and experimental designAbility to communicate complex findings to non-technical stakeholdersTrack record of using data to influence business strategy
Requirements: Blockchain & Web3 Experience
Hands-on experience with blockchain data extraction, transformation, and analysisUnderstanding of EVM concepts (transactions, events, smart contracts) and/or non-EVM ecosystemsAbility to work with on-chain data to derive actionable insights
Bonus Points
Experience with marketing analytics and attribution modelingFamiliarity with data from providers like Dune, Arkham, GoldSky, Flipside, or similarPrevious experience in data roles within blockchain/Web3 organizationsExperience with data visualization tools (Tableau, Looker, or similar)
This position is ideal for someone who...
Gets excited about both building robust data infrastructure AND discovering insightsWants ownership over the entire data value chainThrives in environments where they can wear multiple hatsValues being able to see their analyses through to production impact
Benefits
Competitive SalaryHealth Insurance - (US Only) 401(k) - (US Only) Remote Work EnvironmentMaternity/Paternity Leave