Data Science Jobs in Web3

About Everstake

Everstake is the largest decentralized staking provider in Ukraine and one of the top 5 blockchain validators worldwide. We help institutional and retail investors participate in staking across more than 85 blockchain networks, including Solana, Ethereum, Cosmos, and many others. By building secure, scalable, and reliable blockchain infrastructure, we support the growth of the global Web3 ecosystem and enable the adoption of decentralized technologies worldwide.

About The Role

We are looking for a Head of Data Science to own and scale Everstake’s data science and analytics function. This is a hands-on leadership role with a strong technical focus. You will define the data science direction, lead senior-level engineers, and work closely with the CDO, product, engineering, and business teams to drive data-informed decisions across a complex Web3 infrastructure.

You will be responsible not only for analytics and modeling, but also for data architecture, orchestration, performance, reliability, and engineering standards in a fast-growing blockchain environment.

Key Responsibilities

• Own and evolve data science and analytics architecture across Everstake
• Design and maintain scalable data pipelines, metrics layers, and analytical models
• Lead technical decision-making across data platforms, BI, and orchestration
• Translate blockchain, product, and business problems into clear data solutions
• Define data standards, best practices, and development guidelines
• Review code, data models, and pipelines for quality, performance, and correctness
• Mentor senior data scientists and analysts, provide technical leadership
• Partner closely with product, backend, infrastructure, and finance teams
• Ensure data reliability, observability, and correctness in production
• Actively contribute hands-on where technical depth is required
  
  

Requirements (Must-Have)

Seniority & Leadership

• 6+ years of professional experience in data-related roles
• Strong experience as a Senior / Lead Data Scientist or Analytics Engineer
• Proven ability to lead technically strong teams and initiatives
• Ability to balance hands-on execution with leadership responsibilities
  
  

Core Technical Skills

• Python — expert level (data processing, analytics, modeling, production code)
• Apache Airflow — 2–3+ years of hands-on experience (DAG design, dependencies, retries, backfills, monitoring, failure handling)
  
  

Databases & Warehouses

• ClickHouse (performance tuning, large-scale analytics)
• PostgreSQL
• Snowflake
  
  

BI & Analytics

• Power BI and/or Tableau
• Strong understanding of semantic layers, metrics definitions, and data modeling
  
  

Infrastructure & Observability

• Docker
• Git
• Grafana (monitoring data pipelines and platform health)
  
  

Data & Systems Thinking

• Strong understanding of data modeling (facts, dimensions, slowly changing data)
• Experience designing KPIs and metrics that actually reflect business reality
• Ability to identify incorrect assumptions, misleading metrics, and data biases
• Experience working with high-volume, high-frequency, or near–real-time data
• Strong SQL skills and performance-oriented thinking
  
  

Blockchain / Crypto Domain (Required)

• Practical experience in blockchain, crypto, or Web3 products
• Experience working with blockchain-derived datasets or crypto-financial metrics
• Ability to reason about probabilistic, noisy, and incomplete on-chain data
• Understanding of: Blockchain mechanics (validators, staking, rewards, transactions)
• Wallets, addresses, and transaction flows
• On-chain vs off-chain data
  
  

Soft Skills

• Systems and critical thinking
• Strong communication skills with technical and non-technical stakeholders
• Team-oriented mindset with high ownership and accountability
• Fluent English (B2+ or higher)
  
  

Nice-to-Have

• Experience in staking, DeFi, or blockchain infrastructure companies
• Background in analytics engineering or data platform teams
• Experience building data systems from scratch or scaling them significantly
• Familiarity with financial or yield-related metrics
• Experience working in globally distributed teams
  
  

What We Offer

• Opportunity to work on mission-critical Web3 infrastructure used globally
• Head-level role with real influence on data and technical strategy
• Fully remote work format
• Competitive compensation aligned with experience and seniority
• Professional growth in a top-tier Web3 engineering organization
• Strong engineering culture with focus on quality, ownership, and impact