Senior Data Scientist
$110,000–$125,000 year
On-site · New York City, New York, United States
New York City, New York, United StatesOn-siteFull Time$110,000–$125,000 yearSenior LevelMasters DegreeUnknown
Type
Full Time
Level
Senior Level
Education
Masters Degree
Company size
Unknown
Job Summary
Design and maintain ETL pipelines to ingest APIs, databases, and third-party platforms; perform data cleaning/normalization/validation; develop graph-based ML models and NLP for threat detection; conduct feature engineering and model evaluation; build scalable data pipelines with CI/CD; create dashboards and visualizations; collaborate with engineering, product, and business teams to translate analytical requirements into scalable data-science solutions.
Required Qualifications
- Master’s degree in Data Science, Statistics, or a related field
- Strong knowledge of feature engineering/model evaluation/validation & on-chain patterns/risk-analysis/threat-detection methodologies
- Understanding of blockchain/distributed ledger data structures & analytics
- Experience applying ML & statistical modeling to large-scale datasets
- Proficiency with graph/text-based or transactional data analysis
- Familiarity with cloud platforms (AWS/Azure/GCP) & Spark-based distributed computing (Databricks)
- Proficiency in Python, SQL (PostgreSQL/MySQL/NoSQL) & ETL tools (Apache Airflow)
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