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Data Scientist

ChainLabs|Posted 20 days ago

Skills and experience

Role:Data scientist
Other roles:Data engineer, Machine learning engineer
Experience in role:5+ years
Language proficiency:English
Must-have skills:
    SQL
    Python
    BigQuery

Location and salary

Remote policy:Remote
Location of job:South Africa
Visa requirements:Authorised to work in South Africa With status of citizen/passport holder
Visa sponsorship:Unable to sponsor visa
Employment type:Contract

Role description

We're looking for a Data Scientist to own on-chain attribution analytics at Chainlabs, starting with greenfield Solana clustering. This is a high-autonomy, high-impact role where you'll have final technical authority on attribution methodology with direct CEO support. You'll build Solana clustering R&D from first principles, design validation frameworks balancing precision and recall, and work with massive transaction datasets using SQL and Python. Your work will leverage our existing intelligence across hundreds of millions of labels on Bitcoin, Tron, and EVM networks to extend clustering depth, identify gaps, and generate insights about the Web3 economy. The role can evolve based on your strengths—whether you become a Solana specialist, multi-chain heuristics architect, strategic product thinker, or public research evangelist. Chainlabs builds the intelligence layer that makes blockchains understandable, linking on-chain activity to real-world entities across major networks. Our intelligence powers exchanges, analytics platforms, compliance teams, and investigative organizations globally. You'll join a high-trust, low-bureaucracy culture that's fully remote and values transparency, speed, courage, and curiosity. We're scaling the next phase of our analytics capabilities with deeper clustering, broader attribution coverage, and advanced multi-chain intelligence products. Your work will have ecosystem-wide impact, shipping to leading Web3 analytics companies and shaping how on-chain activity is understood across the industry. We offer principal-level ownership with real architectural authority, meaningful equity aligned with long-term value creation across sister companies and future products, and compensation tailored to your experience and location. You'll push cross-functional improvements, demand better data coverage, and influence product direction where clustering unlocks new revenue opportunities. If you're passionate about understanding crypto and DeFi from a data perspective, have strong problem-solving abilities, and thrive in remote environments with high ownership and low hand-holding, we want to hear from you.

About ChainLabs

15-50 employees

What we do

Chainlabs is a cryptocurrency data analytics startup based in Paris, France, specializing in on-chain data analysis, wallet labeling, and insights into the crypto economy. Our mission is to enhance transparency in the cryptocurrency ecosystem through innovative big data tools and wallet intelligence, serving clients with a comprehensive database of over 2,500 organizations linked to blockchain addresses.

Why work for us

At Chainlabs, we offer a dynamic work environment where software engineers can engage with cutting-edge technologies in the rapidly evolving fields of crypto, DeFi, and web3 analytics. Our team is small but growing, with opportunities for professional development and collaboration on impactful projects that shape the future of the cryptocurrency landscape.

Our culture

We foster a culture of innovation, collaboration, and integrity, where each team member's contributions are valued. Our work environment encourages open communication and creativity, allowing engineers to thrive while tackling complex challenges in the blockchain space.

Our engineering process

Our engineering process emphasizes agile methodologies and data-driven decision-making. We utilize modern technologies and frameworks, such as AI and data analytics, to deliver high-quality solutions, all while promoting collaboration across teams to ensure alignment and efficiency in our projects.

Our hiring process

Our hiring process is designed to identify passionate individuals who are eager to contribute to the world of cryptocurrency analytics. Candidates can expect a structured interview process that includes technical assessments and discussions with team members, ensuring a good fit for both the applicant and our company culture.

Tech Stack

business tool

Slack
Slack

application and data

Python
Python
BigQuery
BigQuery

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