Staff Data Scientist drives data-driven decisions through segmentation, recommendations, forecasting, and product analytics. Collaborates cross-functionally, mentors juniors, and requires 7+ years experience with Python/Scala, Spark, SQL, and MS/PhD.
192k – 260k/yr
On-site7+ YOEData Science
About the role
Impact You Will Have
Shape key data science areas: segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights.
Work with Engineering, Product Management, Sales and Customer Success to understand usage patterns and make data-driven decisions.
Develops ML models for fraud/abuse detection and anomalous activity on Databricks platform. Analyzes security features, collaborates cross-functionally, and deploys production solutions. Requires 7+ years experience, MS in quantitative field, Python/SQL/Spark expertise.
192k – 260k/yr
On-site7+ YOEData Science
Staff Data Scientist - Infrastructure
DatabricksMountain View, CA
Leads data science initiatives to inform business decisions, generate strategic insights for engineering priorities, and build production ML tooling. Requires 7+ years experience, strong Python/SQL/Spark skills, and MS/PhD in quantitative field.
192k – 260k/yr
On-site7+ YOEData Science
Staff ML Risk Analyst
CoinbaseUnited States
Staff-level ML Analytics role focused on fraud detection at Coinbase. Own feature engineering pipelines, define ML data strategy, and partner with MLEs to productionize models that detect account takeover and scam activity.
194k – 228k/yr
Remote8+ YOEData Science
Staff Data Scientist
HonorUnited States
Staff Data Scientist building agentic AI and optimization solutions to improve care operations and marketplace matching at Honor (Home Instead). Requires 7+ years experience, strong ML foundations, and deep expertise in either Agentic AI systems or optimization algorithms.
194k – 216k/yr
Remote7+ YOEData Science
Staff Data Scientist
SiftUnited States
Staff Data Scientist owning advanced ML modeling strategies for fraud detection across payment fraud, account takeover, and identity abuse. Requires 5+ years production modeling experience, deep fraud/security domain expertise, and mastery of tree-based, deep learning, and graph methods.