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Senior Blockchain Data Scientist position at Ledger, responsible for leveraging data to drive strategic business decisions and enhance product offerings. The role involves end-to-end data projects from defining metrics and building robust data pipelines to deploying analytical models. The insights will be essential for monitoring company performance, understanding user behavior across various protocols, and contributing directly to Ledger's growth and security strategies.
Job Responsibility:
Design, build, and maintain robust, scalable data pipelines (ETL/ELT) using tools like dbt and Airflow
Perform in-depth analysis of large-scale, complex blockchain data (on-chain and off-chain) to uncover key trends and optimize product features
Partner with Product, Engineering, and Finance teams to translate business questions into analytical frameworks and deliver actionable recommendations
Monitor company performance, track revenue, and identify user segments to support strategic direction
Design and maintain BI dashboards using tools like Tableau
Ensure data quality and accessibility for the entire organization
Master a cutting-edge technical stack (Python, Snowflake, DBT, Airflow, Generative AI tools)
Requirements:
2+ years of professional experience in a Data Scientist, Data Engineer, or relevant analytical role
Exceptional proficiency in SQL for complex data extraction, manipulation, and optimization
Significant experience with Python for statistical analysis, modeling, and building data-intensive applications
Proven experience in building and optimizing scalable data pipelines using dbt and Airflow
Direct experience working with public blockchain data (Ethereum, Bitcoin, Layer 2s, DeFi protocols) is a significant advantage
Experience with machine learning, time-series analysis, or predictive modeling is a plus
Excellent ability to communicate technical findings and methodologies to non-technical audiences
Strong interest in cryptocurrencies, blockchain technology, and the Web3 ecosystem
Nice to have:
Experience with machine learning, time-series analysis, or predictive modeling
What we offer:
Flexible work options - work from home up to 3 times per week
Health & Wellness support - Health and Life Insurance
Financial growth opportunities - employees can become shareholders in Ledger
Commuter allowance - contribution to preferred means of transportation
Learning & Development - comprehensive suite of training solutions
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