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# Senior Data Scientist

- **Company:** Certified Kernel Tech LLC
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $110,000.0 - $125,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Microsoft Azure, Big Data, Databases, Continuous Integration, Data Cleansing, Extract Transform Load (ETL), Data Structures, Python (Programming Language), PostgreSQL, Machine Learning, MySQL, Natural Language Processing, NoSQL, Blockchain, SQL Databases, Transaction Data, Feature Engineering, Apache Spark, Model Validation, Computerised Systems, Data Analytics, Data Pipelines, Databricks
- **Published:** June 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=165a77cf906f8072

## About the Role

Do you have experience in Testing and evaluation?, Do you have a Master's degree?, * 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).

## Description

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., * 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.


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