What you will do

Key Responsibilities

• Data Infrastructure Design: Build systems to ingest, clean, and analyze *both on-chain* (wallet transactions, NFT interactions) *and off-chain* (Telegram user behavior) data at scale.
• Ad Targeting Models: Develop ML/AI models for: User segmentation (e.g., classifying gamers, DeFi users, NFT collectors); Predictive analytics for ad performance (CTR, conversion rates); Real-time bidding algorithms optimized for web3 metrics (e.g., token-holder engagement).
• Privacy-First Analytics: Implement techniques like federated learning or differential privacy to ensure decentralized data compliance.
• On-Chain Insights: Track and interpret blockchain activity (e.g., Ethereum, Solana) to identify high-value user cohorts for advertisers.
• Cross-Team Collaboration: Partner with engineers to deploy models and with product teams to translate insights into ad-platform features.
• Experimentation: Design A/B tests to refine targeting strategies and measure ROI for advertisers.

What you will need

Qualifications

• 3 years or more in data science, with experience in adtech, gaming, or web3 ecosystems.
• Expertise in Python and ML libraries (Pandas, Scikit-learn, TensorFlow/PyTorch).
• Proficiency with SQL/NoSQL databases and big data tools (Spark, Kafka).
• Familiarity with blockchain data (transactions, smart contracts) and tools (The Graph, Dune Analytics, web3.py).
• Ability to distill complex datasets into actionable insights (e.g., dashboards, reports).

Nice-to-Have:

• Experience with programmatic advertising stacks (DSPs, SSPs).
• Knowledge of privacy-preserving ML techniques.
• Fluency in English for cross-functional communication.