[Remote] Staff Data Scientist - Identity Graph
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is representing a leading provider of digital identity verification and fraud solutions. reputed company is at the forefront of leveraging advanced technology to ensure reputed company 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
- reputed company and optimize algorithms to enhance the accuracy of identity verification processes
- Collaborate with cross-functional teams to reputed company data solutions into existing systems
- Utilize reputed company 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 reputed company 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 reputed company for reputed company data engineering and analytics
- Knowledge of cybersecurity principles and practices reputed company to identity verification
- Familiarity with machine learning frameworks and libraries
Benefits
- Competitive equity reputed company
- Opportunities for reputed company reputed company and development
reputed company