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CertiK

Senior Data Scientist

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You will build and maintain ETL pipelines and process large datasets from APIs databases and third party platforms to enable real time analytics and automate data preprocessing for client accounts using rule based logic and statistical checks to ensure data quality and prepare analysis ready datasets for modeling and reporting. You will analyze large scale blockchain transactional and social media datasets to identify patterns trends anomalies risk indicators. You will develop and apply machine learning models graph based algorithms and NLP techniques for threat detection behavioral analysis and monitoring. You will design and implement scalable data pipelines ETL processes and CI CD workflows for ingestion preprocessing aggregating blockchain and social media data. You will create dashboards visualizations to deliver actionable insights and provide data driven guidance for strategic planning. You will collaborate with engineering product and business teams to translate analytical requirements into scalable data science solutions.

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).

Benefits

  • Medical insurance
  • Vision insurance
  • Dental insurance
  • 401(k) plan with company matching
  • Life and accidental death and dismemberment insurance
  • HSA
  • FSA
  • Flexible paid time off and holidays
  • Variable commission program