About the Company
Born from groundbreaking research at Columbia University and Yale University, CertiK is a leading Web3 security company focused on securing blockchain protocols, smart contracts, and decentralized applications through cutting-edge security research, formal verification, and AI-powered technology. Founded in 2017 and headquartered in New York City, CertiK provides end-to-end security solutions including smart contract audits, penetration testing, on-chain monitoring, incident response, and compliance services for some of the largest projects in the digital asset ecosystem.
Today, CertiK supports thousands of enterprise clients and Web3 projects globally, with a distributed international team spanning North America, Asia, and Europe. The company is backed by leading investors including Coatue, Goldman Sachs, Insight Partners, and Sequoia Capital, and has been recognized by organizations such as the World Economic Forum and CB Insights for its contributions to blockchain security innovation.
About the Role
The primary responsibility of this role is to build/maintain ETL pipelines & process large datasets from APIs/databases/third-party platforms to enable real-time team analytics and automate data preprocessing (cleaning/normalization/validation) for client accounts using rule-based logic/statistical checks to ensure data quality & prepare analysis-ready datasets for modeling/reporting.
Responsibilities
Develop data models to extract/classify/summarize metadata from unstructured documents to forecast market dynamics & support data-driven strategy.
Design interactive Tableau dashboards to visualize KPIs/trends/progress & interpret key patterns to support data-driven decisions for stakeholders.
Conduct data analysis on large datasets & apply segmentation/clustering/regression/EDA to support client management/market intelligence/pricing strategies.
Collaborate with business/product/finance/engineering teams to translate business challenges into data projects (e.g., churn prediction, sales funnel analysis) & provide growth/retention recommendations to leadership.
Requirements
Master of Science in Data Science, Business Analytics, or a related field
Minimum 1-year work experience in large-scale data processing/quality management/predictive modeling & working with cloud-based data platforms (Databricks, AWS)/Agile environments using project management tools like Jira/Confluence
Expertise in designing interactive dashboards with Tableau
Familiar with Scikit-learn/XGBoost/LightGBM/NLP
Proficient in Python, SQL (PostgreSQL/MySQL/NoSQL) & ETL tools (Apache Airflow)
