Blockchain, Data Analytics (Remote)

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, on-chain 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 crypto 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 dashboards
• Develop statistical models and data science solutions while also implementing the infrastructure to deploy them
• Create self-serve analytics tools and datasets that empower stakeholders across the organization
• Design experiments and perform statistical analyses to measure product and marketing initiatives
• Build data models in our warehouse that balance analytical flexibility with performance
• Partner directly with product, marketing, and leadership teams to identify opportunities and measure impact
• Own 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 architectures
• Advanced SQL skills and high proficiency in Python for both data analysis and engineering
• Understanding 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 design
• Ability to communicate complex findings to non-technical stakeholders
• Track record of using data to influence business strategy

Requirements: Blockchain & Web3 Experience

• Hands-on experience with blockchain data extraction, transformation, and analysis
• Understanding of EVM concepts (transactions, events, smart contracts) and/or non-EVM ecosystems
• Ability to work with on-chain data to derive actionable insights

Bonus Points

• Experience with marketing analytics and attribution modeling
• Familiarity with data from providers like Dune, Arkham, GoldSky, Flipside, or similar
• Previous experience in data roles within blockchain/Web3 organizations
• Experience 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 insights
• Wants ownership over the entire data value chain
• Thrives in environments where they can wear multiple hats
• Values being able to see their analyses through to production impact

Benefits

• Competitive Salary
• Health Insurance - (US Only) 
• 401(k) - (US Only) 
• Remote Work Environment
• Maternity/Paternity Leave

$80,000 - $150,000 a year

The salary range for this role is dependent on a variety of factors, including level of experience, skills, and qualifications. Final compensation will be determined through the interview process and may vary based on these considerations.