Senior Data Scientist

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/No
  
  SQL) & ETL tools (Apache Airflow)

• 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