Data Scientist / ML Engineer

We're looking for a highly skilled Web3 Data Scientist or ML Engineer to support the development of data pipelines, labeling systems, and predictive models across ---------- and Twitter (X) datasets.

The ideal candidate has experience with crypto analytics, machine learning workflows, and NLP techniques — and can design and implement systems that transform raw onchain and social data into structured, labeled datasets used for modeling and analysis.

Responsibilities:
- Design and maintain data labeling workflows using tools like Label Studio
- Build structured schemas for annotating:
- Blockchain activity (wallet types, deployer info, token behavior)
- Twitter data (sentiment, influencer tier, engagement metrics, narrative tagging)
- Engineer feature sets combining onchain and offchain signals
- Train and validate ML models for classification and scoring
- Integrate external APIs and tools (e.g., Arkham, ChainEdge, Kaito, LunarCrush)
- Collaborate on backtesting frameworks and evaluation strategies
- Optimize pipelines for continuous data ingestion, labeling, and scoring

Requirements:
- Strong Python skills (pandas, scikit-learn, or equivalent ML libraries)
- Experience with data labeling platforms (Label Studio, Prodigy, Snorkel, etc.)
- Familiarity with onchain analytics: token launch data, wallet flow, tokenomics
- Experience with Twitter/X data, social sentiment, or NLP
- Ability to design and manage custom annotation workflows
- Comfortable working with APIs, JSON, and time-series/relational data

Work Details:
Remote / flexible hours

Project-based or monthly retainer
Long-term opportunity available
Compensation bonuses available based on results