Senior Data Scientist

Summary:
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. The role includes collaboration with both technical and non-technical stakeholders and focuses on developing scalable, production-ready data solutions.

Education & Certification Requirements:

• 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
• Cloud certifications (Azure, AWS, or GCP) preferred

Clearance Requirements:

• U.S. Citizenship required
• Must be eligible for Public Trust/background investigation
• 100% REMOTE

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

Qualifications:

• 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

Desired Skills:

• 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

Employer Information: Razor is an EEO Employer. Razor is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic.

Benefits Overview: Razor offers a comprehensive benefits package which may include medical, dental, and vision insurance, paid time off, holidays, 401(k) with company match, professional development opportunities, and other competitive benefits designed to support the health and well-being of our employees.