Remote Senior Data Scientist - Financial Fraud Analytics

Vinsys Information Technology Inc; Tacoma (WA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Remote work

Job summary

Vinsys Information Technology Inc. is seeking two Senior Data Scientists to support advanced data analytics, fraud detection, and machine-learning initiatives for a federal government client.

You will design, test, and maintain AI/NLP solutions while collaborating with investigators, auditors, data engineers, and stakeholders. The role involves working remotely with periodic onsite participation and adherence to criminal evidentiary standards, data protection, and reporting requirements.

Qualifications

• Advanced degree in data science, ML, CS, math, or statistics or equivalent experience.
• Minimum 10 years of applied professional experience in relevant fields.
• At least 5 years building AI systems and predictive models.
• Experience with supervised and unsupervised ML models.

Responsibilities

• Design, implement, and maintain ML models including regression, classification, clustering and NLP.
• Analyze large structured and unstructured datasets and ensure data quality.
• Develop repeatable data processing pipelines and analytics workflows.
• Support investigations into financial fraud and noncompliance with government programs.
• Collaborate with investigators to develop analytical leads and present findings.

Skills

Data Science

Machine Learning

Python

Pandas

SQL

Cloud Platforms

Data Visualization

Education

Master's degree

Ph.D.

Tools

SQL Server

PostgreSQL

Power BI

OCR technologies

Job description

Vinsys Information Technology Inc. is seeking two Senior Data Scientists to support advanced data analytics, fraud detection, and machine-learning initiatives for a federal government client.

You will design, test, and maintain AI/NLP solutions while collaborating with investigators, auditors, data engineers, and stakeholders. The role involves working remotely with periodic onsite participation and adherence to criminal evidentiary standards, data protection, and reporting requirements.