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Head of Data Science: Everstake

Mar 17, 2026   |   Location: Europe   |   Deadline: Not specified

Experience: Senior

Continent: Europe

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 β€” expert level (data processing, analytics, modeling, production code)
Apache Airflow β€” 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
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