Senior Data Scientist

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. Target annual salary compensation for this role performed is $110,000 to $125,000. The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates. CertiK is proud to offer medical, vision, and dental insurance, 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA (with high deductible plan), FSA, and other benefits to all full-time employees, along with flexible paid time off and holidays. CertiK also offers a variable commission program for business development sales roles. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. CertiK is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law. CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf All CertiK employees are expected to actively support diversity on their teams, and in the Company. Responsibilities Analyze large-scale blockchain/transactional/social-media datasets to identify patterns/trends/anomalies/risk indicators. Develop/apply machine learning models (graph-based algorithms & NLP techniques) for threat detection/behavioral analysis/monitoring. Perform feature engineering/model training/testing/validation to ensure accuracy/robustness/interpretability. Design/implement scalable data pipelines/ETL processes & CI/CD workflows for ingestion/preprocessing/aggregating blockchain & social media data. Create dashboards/visualizations to deliver actionable insights & provide data-driven guidance for strategic planning. Collaborate with engineering/product/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/validation & on-chain patterns/risk-analysis/threat-detection methodologies. In-depth understanding of blockchain/distributed ledger data structures & analytics. Strong ability to apply machine-learning & statistical modeling techniques to large-scale datasets. Expertise in analyzing graph/text-based or transactional data. Familiar with cloud platforms (AWS/Azure/GCP) & Spark-based distributed-computing systems (e.g., Databricks). Proficient in Python, SQL (PostgreSQL/MySQL/NoSQL) & ETL tools (Apache Airflow).

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