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About the Job
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 and maintain ETL pipelines and process large datasets from APIs, databases, and third-party platforms to enable real-time team analytics and automate data preprocessing (cleaning, normalization, validation) for client accounts using rule-based logic and statistical checks to ensure data quality and prepare analysis-ready datasets for modeling and reporting.
Responsibilities
- Analyze large-scale blockchain, transactional, and social media datasets to identify patterns, trends, anomalies, and risk indicators.
- Develop and apply machine learning models (graph-based algorithms and NLP techniques) for threat detection, behavioral analysis, and monitoring.
- Perform feature engineering, model training, testing, and validation to ensure accuracy, robustness, and interpretability.
- Design and implement scalable data pipelines, ETL processes, and CI/CD workflows for ingestion, preprocessing, and aggregating blockchain and social media data.
- Create dashboards and visualizations to deliver actionable insights and provide data-driven guidance for strategic planning.
- Collaborate with engineering, product, and business teams to translate analytical requirements into scalable data-science solutions.
Requirements
- Master's degree in Data Science, Statistics, or a related field.
- Sound knowledge of feature engineering, model evaluation and validation, and on-chain patterns, risk analysis, and threat detection methodologies.
- In-depth understanding of blockchain and distributed ledger data structures and analytics.
- Strong ability to apply machine learning and statistical modeling techniques to large-scale datasets.
- Expertise in analyzing graph, text-based, or transactional data.
- Familiar with cloud platforms (AWS/Azure/GCP) and Spark-based distributed computing systems (e.g., Databricks).
- Proficient in Python, SQL (PostgreSQL/MySQL/NoSQL), and ETL tools (Apache Airflow).
Compensation & Benefits
Target annual salary compensation for this role is $110,000 – $125,000. The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates.
- Medical, vision, and dental insurance.
- 401(k) plan with company matching.
- Life and accidental death and dismemberment insurance.
- HSA (with high deductible plan) and FSA.
- Flexible paid time off and holidays.
About the Company
View details
CertiK, the largest Web3 security service provider, uses AI and formal verification to protect and monitor smart contracts and protocols, securing the Web3 ecosystem.
Senior Data Scientist
Domains
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 and maintain ETL pipelines and process large datasets from APIs, databases, and third-party platforms to enable real-time team analytics and automate data preprocessing (cleaning, normalization, validation) for client accounts using rule-based logic and statistical checks to ensure data quality and prepare analysis-ready datasets for modeling and reporting.
Responsibilities
- Analyze large-scale blockchain, transactional, and social media datasets to identify patterns, trends, anomalies, and risk indicators.
- Develop and apply machine learning models (graph-based algorithms and NLP techniques) for threat detection, behavioral analysis, and monitoring.
- Perform feature engineering, model training, testing, and validation to ensure accuracy, robustness, and interpretability.
- Design and implement scalable data pipelines, ETL processes, and CI/CD workflows for ingestion, preprocessing, and aggregating blockchain and social media data.
- Create dashboards and visualizations to deliver actionable insights and provide data-driven guidance for strategic planning.
- Collaborate with engineering, product, and business teams to translate analytical requirements into scalable data-science solutions.
Requirements
- Master's degree in Data Science, Statistics, or a related field.
- Sound knowledge of feature engineering, model evaluation and validation, and on-chain patterns, risk analysis, and threat detection methodologies.
- In-depth understanding of blockchain and distributed ledger data structures and analytics.
- Strong ability to apply machine learning and statistical modeling techniques to large-scale datasets.
- Expertise in analyzing graph, text-based, or transactional data.
- Familiar with cloud platforms (AWS/Azure/GCP) and Spark-based distributed computing systems (e.g., Databricks).
- Proficient in Python, SQL (PostgreSQL/MySQL/NoSQL), and ETL tools (Apache Airflow).
Compensation & Benefits
Target annual salary compensation for this role is $110,000 – $125,000. The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates.
- Medical, vision, and dental insurance.
- 401(k) plan with company matching.
- Life and accidental death and dismemberment insurance.
- HSA (with high deductible plan) and FSA.
- Flexible paid time off and holidays.