Note: The job is a remote job and is open to candidates in USA. Razor is seeking a Senior Data Scientist. This 100% remote role involves designing and implementing advanced analytics, machine learning, and AI-driven fraud detection solutions. The position supports criminal investigations, audits, and data-driven decision-making by leveraging modern cloud platforms, statistical modeling, and natural language processing techniques.

Responsibilities

• Design, implement, and maintain advanced AI systems and predictive models (supervised and unsupervised)
• Develop analytic rules and models using fraud analytics tools and best practices
• Build regression, classification, and statistical models to identify anomalies and predictive variables
• Provide data analytics support for fraud and abuse investigations
• Manipulate and analyze datasets using Python, including Pandas
• Operate in cloud-based environments (Azure, AWS, or GCP)
• Conduct advanced SQL-based data analysis (SQL Server and PostgreSQL)
• Develop and scale Natural Language Processing (NLP) solutions
• Present findings and methodologies to both technical and non-technical audiences
• Identify trends, patterns, and insights to support decision-making
• Support audits and investigations with advanced analytics
• Apply clustering and causal analysis techniques to identify sub-populations and drivers
• Develop and deploy machine learning models for fraud detection
• Utilize NLP to process and classify large text datasets
• Build dashboards, reports, and storytelling visualizations
• Support data ingestion, transformation, and configuration in cloud data lakes/warehouses
• Create network graphs, interactive maps, and other visualizations for investigation support
• Analyze structured, semi-structured, and unstructured data
• Develop automation and programming techniques to improve efficiency

Skills

• Master's, Ph.D., or doctorate-level degree in Data Science, Machine Learning, Computer Science, Mathematics, or a related field; OR 10 years of equivalent applied work experience in the same fields
• U.S. Citizenship required
• Must be eligible for Public Trust/background investigation
• 5+ years of experience in AI/ML model development, fraud analytics, and statistical modeling
• 3+ years of experience supporting criminal investigations with data analytics
• 3+ years of Python experience (Pandas required)
• 3+ years working in cloud environments (Azure, AWS, or GCP)
• 2+ years of advanced SQL experience (SQL Server and PostgreSQL)
• 2+ years of NLP development and scaling experience
• Proven ability to communicate complex concepts clearly to diverse audiences
• Cloud certifications (Azure, AWS, or GCP)
• Experience with fraud detection methodologies and tools
• Strong knowledge of modern data architectures (data lakes, warehouses)
• Expertise in data visualization and storytelling techniques
• Experience working with large-scale and complex datasets
• Familiarity with automation and workflow optimization
• Experience generating investigative visualizations such as network analysis and geospatial mapping

Benefits

• Medical, dental, and vision insurance
• Paid time off
• Holidays
• 401(k) with company match
• Professional development opportunities
• Other competitive benefits designed to support the health and well-being of our employees

Company Overview