Recruiting from Scratch · 1 month ago
Staff Data Scientist - Identity Graph
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.
Human ResourcesStaffing Agency
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
Qualification
Required
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
Preferred
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
Recruiting from Scratch
A recruiting agency working with technology companies to help them hire software engineers, data roles, product managers, and hardware.
Funding
Current Stage
Early StageRecent News
Company data provided by crunchbase