The role involves building ETL pipelines, analyzing large datasets, applying machine learning models for threat detection, and collaborating with teams to implement data science solutions.
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
- 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).
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.
CertiK New York, New York, USA Office
1001 Ave of Americas, New York, NY, United States, 10018
Similar Jobs
Fintech • Mobile • Payments • Software • Financial Services • Cryptocurrency
Lead design, development, and deployment of predictive ML models and anomaly detection. Perform extensive EDA, feature engineering, model evaluation, A/B testing, and customer segmentation. Build monitoring and governance for models, collaborate with Product/Engineering/Marketing, and ensure scalable data pipelines and model integration to drive member acquisition, retention, and product optimization.
Top Skills:
BigQueryDataflowDbtGoogle Cloud PlatformPythonPyTorchScalaScikit-LearnSQLTensorFlowVertex AiXgboost
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Lead product-focused quantitative analyses and machine learning efforts to generate actionable insights, drive product decisions, and optimize features. Collaborate with cross-functional teams to design metrics, build scalable statistical solutions, create dashboards, and communicate findings while using AI tools responsibly.
Top Skills:
AIMachine LearningPythonRSQL
Cloud • Information Technology • Security • Software • Cybersecurity
Research, design, and evaluate large-scale detection models to identify automated, fraudulent, and malicious Internet traffic. Analyze massive datasets to find adversarial patterns, define evaluation metrics for noisy ground truth, explore new AI/ML techniques (including LLMs), and partner with ML Engineers, Data Engineers, and Product to deploy and measure production impact.
Top Skills:
Generative AiLlmsPythonSQL
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
