Staff Data Scientist - Identity Graph
$170,000–$205,000 year
RemoteSan Francisco, California, United States
Job Summary
Design and implement data models for identity graph analysis using Python and PySpark, developing and optimizing algorithms to enhance verification accuracy. Collaborate with cross-functional teams to integrate data solutions while utilizing Vector Store and NeptuneDB to manage large datasets. Create visualizations and reports for stakeholders and conduct experiments and A/B testing to evaluate machine learning model performance. Stay updated on industry trends to continuously improve data strategies. Base salary ranges from $170K to $205K with competitive equity options. Join a leading provider of digital identity verification and fraud solutions focused on leveraging advanced technology for security and trust in digital transactions.
Required Qualifications
- 5+ years of experience in data science or machine learning engineering roles
- Proficiency in Python and PySpark for data manipulation and analysis
- Experience with Vector Store and graph databases, particularly NeptuneDB
- Strong understanding of SQL for data querying and management
- Familiarity with OpenCypher and GraphFrames for graph data processing
Desired Qualifications
- Experience with Databricks for collaborative data engineering and analytics
- Knowledge of cybersecurity principles and practices related to identity verification
- Familiarity with machine learning frameworks and libraries
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.