Senior Data Scientist - Big Data R&D, Identity Graph & KYC

📋 Description

• Own design, development, and evaluation of ML and graph algorithms for identity graphs.
• Architect and optimize identity representations to boost match rates and reduce errors.
• Build scalable data pipelines and feature stores in Spark/PySpark on AWS/Databricks.
• Lead A/B tests and experiments with rigorous validation before rollout.
• Collaborate with product and engineering to translate regulatory needs into roadmaps.
• Mentor junior data scientists and engineers; communicate complex concepts clearly.

🎯 Requirements

• Master’s degree with 3+ years in ML, or PhD with 1+ year.
• Python (preferred) or Scala; scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Spark/PySpark with AWS EMR or Databricks on large datasets.
• Deep understanding of supervised/unsupervised learning, feature engineering, evaluation.
• Experience building production pipelines with Airflow.
• Graph databases (Neo4j, AWS Neptune) and graph algorithms.
• Strong SQL skills and large-scale analytical stores.
• Identity verification or fraud detection experience is a plus.

🎁 Benefits

• Remote work within the United States.
• Career growth and mentorship opportunities.
• Collaborative, high-impact team environment.