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Senior Data Scientist, CertiK, $165,000 - $170,000/year

New York, on-site

Job Type



About the Role

Lead data science/engineering initiatives to frame competitive data-driven strategies & resolve complex analytics challenges
Derive key insights that deliver significant business value/revenue growth/impact
Build/oversee advanced analytics platforms on TB-scale blockchain data
Identify/capture complex data from multiple sources to develop data science vision/analytics roadmap/warehouses
Explore statistical approaches to analyze integration opportunities using statistical data analysis & coding skills
Develop computational models using regression/time-series analysis
Provide management with data-based analytical/strategic insights &enable quantitative decision-making
Architect data pipelines/ETL processes, create instrument data, and implement CI/CD
Define/execute scalable data analytics through cluster computing/cloud infrastructure


  • Bachelor’s degree in Computer Science, Statistics or equivalent

  • Minimum 5-year experience developing big data analytics platforms & pipelines for large enterprises using Hadoop/Spark/cloud platforms

  • Expertise in distributed computing/scaling machine learning models/ETL/workflow optimization/visualizing large datasets

  • Experience with real-time & batch data processing/data warehousing/predictive modeling/querying big data

  • Strong statistical analysis/machine learning/data mining/optimization skills for advanced modeling

  • In-depth knowledge of digital marketing techniques, including SEO/social media analytics/running optimized ad campaigns

  • Excellent ability to build robust data pipelines, create interactive dashboards and monitor KPIs & A/B testing

About the Company

CertiK is a pioneer in blockchain security, leveraging best-in-class AI technology to protect and monitor blockchain protocols and smart contracts. Founded in 2018 by professors from Yale University and Columbia University, CertiK’s mission is to secure the web3 world. CertiK applies cutting-edge innovations from academia to enterprise, enabling mission-critical applications to scale with safety and correctness.

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