Note: The job is a remote job and is open to candidates in USA. Recruiting from Scratch is representing a leading provider of digital identity verification and fraud solutions. The company is at the forefront of leveraging advanced technology to ensure security and trust in digital transactions across various industries, and they are seeking a Staff Data Scientist to design and implement data models for identity graph analysis and enhance the accuracy of identity verification processes.

Responsibilities

• Design and implement data models for identity graph analysis using Python and PySpark
• Develop and optimize algorithms to enhance the accuracy of identity verification processes
• Collaborate with cross-functional teams to integrate data solutions into existing systems
• Utilize Vector Store and NeptuneDB to manage and analyze large datasets effectively
• Create visualizations and reports that communicate insights to stakeholders
• Conduct experiments and A/B testing to evaluate the performance of machine learning models
• Stay updated on industry trends and emerging technologies to continuously improve data strategies

Skills

• 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
• 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

Benefits

• Competitive equity options
• Opportunities for professional growth and development

Company Overview