Blockchain, Data Analytics

About the role

You will own the design and execution of data products that map the on-chain economy, translating raw blockchain activity into strategic narratives for clients across digital assets and venture capital. You will partner directly with builders and founders to define key growth metrics and construct experiments that validate market hypotheses using statistical modeling and causal inference. This role requires you to build and maintain the scalable infrastructure that powers our analytics, ensuring data reliability, pipeline efficiency, and system observability from collection to dashboard. You will lead the development of our central data platform, the Serotonin Platform, integrating diverse data sources and enabling self-service access for internal stakeholders. You will mentor junior analysts and data engineers by example, setting standards for code quality, documentation, and reproducibility in a fast-paced environment. Your work will directly inform go-to-market decisions for over 300 clients, linking technical insights to business outcomes in consumer tech, crypto infrastructure, and AI sectors. You will own the full lifecycle of data projects, from initial discovery and requirements gathering through deployment, monitoring, and iterative improvement. This is a hybrid role for someone who thrives on the intersection of data science and software engineering, balancing deep analysis with the craft of building robust data products.

Key facts

What you'll do

Conduct exploratory analysis of on-chain and off-chain datasets to uncover product opportunities and anomalies using advanced statistical methods.

Architect and maintain data pipelines using modern data stack tools to ensure high throughput, low latency, and secure data flow across platforms.

Develop and deploy machine learning models that forecast market trends, user behavior, and protocol performance for client deliverables.

Implement monitoring frameworks to track data quality, pipeline health, and model drift, enabling proactive issue resolution and system reliability.

Collaborate with cross-functional teams to translate business questions into analytical frameworks and define success metrics for experiments.

Create interactive dashboards and data products that communicate complex insights to non-technical stakeholders through clear visualization and narrative.

Optimize database schemas and query performance to support large-scale analytics workloads across our global infrastructure.

Partner with engineering teams to integrate new data sources, including smart contract events, API feeds, and decentralized storage systems.

Own the documentation and versioning of data workflows, ensuring reproducibility and enabling seamless collaboration across squads.

Lead data reviews and knowledge sharing sessions to elevate the analytical capabilities of the broader Serotonin community.

Design and execute A/B tests and quasi-experimental methods to measure the impact of product changes and marketing initiatives.

Develop automated reporting systems that reduce manual effort and provide clients with real-time insights into their campaign and product performance.

Contribute to the open-source ecosystem by sharing tools and patterns that advance best practices in blockchain data analytics.

Champion data governance and privacy standards, ensuring compliance with regulatory requirements across jurisdictions.

Requirements

You hold a Bachelor's or Master's degree in a quantitative field such as computer science, statistics, mathematics, or a related discipline.

You possess 3 or more years of professional experience in data analysis, data science, or a related role within technology or finance.

You demonstrate advanced proficiency in SQL for querying large datasets and optimizing complex joins, aggregations, and window functions.

You have hands-on experience with at least one programming language commonly used for data science, such as Python or R, including writing clean, testable functions.

You understand statistical modeling, experimental design, and causal inference techniques used to analyze user behavior and business outcomes.

You are comfortable working with blockchain data, including transaction parsing, address clustering, and on-chain metric construction.

You have built and maintained data pipelines, demonstrating knowledge of ETL/ELT processes, scheduling, and error handling.

You have experience with data visualization tools and dashboarding platforms to communicate insights effectively to diverse audiences.

Nice to have

Experience with cloud platforms and infrastructure as code for data environments.

Contributions to public data projects or open-source analytics tools in the blockchain space.

Practical notes

This is a hybrid role based in New York.

Applicants must be eligible to work in the United States without sponsorship.

Current Serotonin employees are excluded from this role.

The listed location is fixed and non-negotiable.