Wintrio LLC Senior Data Scientist (Artificial Intelligence, Machine Learning & Fraud Analytics) Remote · Full time Company website

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WINTrio is an 8(a) and HUBZone organization with a successful record of delivering high-quality technical and professional services to federal and commercial customers including USCIS and Walmart. WINTrio manages and improves overall performance through IT Modernization practices. Our team of seasoned Cyber Security, Cloud/DevSecOps, software, and Support Experts helps your organization secure its digital environment with innovative and bleeding-edge technology solutions based on best practices and approved industry standards. We deliver a 360-degree spectrum of Systems Integration services from Inception to Project Delivery. At WINTrio we provide tailored customized services to meet all your business needs.

Position Title: Senior Data Scientist (Artificial Intelligence, Machine Learning & Fraud Analytics) 

Location: Remote (U.S.) with Occasional Travel 

Client: Federal Government Programs 

Employment Type: Full-Time | Contract 

Work Authorization: U.S. Citizenship required. Candidates must be eligible to obtain and maintain a Public Trust clearance. 

How to Apply 

Email your resume: [email protected] 

Apply online through the WINTrio Careers Portal: 

https://www.wintrio.com/careers/senior-data-scientist-artificial-intelligence-machine-learning-fraud-analytics/  

Job Summary 

WINTrio LLC is seeking two highly experienced Senior Data Scientists to support Federal agencies in delivering advanced analytics, artificial intelligence (AI), machine learning (ML), fraud detection, and investigative data solutions. The successful candidates will design predictive models, analyze large structured and unstructured datasets, develop Natural Language Processing (NLP) solutions, and collaborate with investigators, engineers, and business stakeholders to identify fraud, improper payments, anomalies, and emerging risks. This role requires expertise in statistical modeling, cloud analytics, Python development, data visualization, and communicating analytical findings to both technical and executive audiences. 

Job Responsibilities 

• Design, develop, implement, and maintain advanced AI, machine learning, and predictive analytics models. 
• Build supervised and unsupervised machine learning solutions for fraud detection, anomaly detection, and predictive analysis. 
• Develop analytic rules and models using industry-leading fraud analytics methodologies and best practices. 
• Perform statistical analysis using regression, classification, clustering, ensemble learning, Bayesian techniques, and predictive modeling. 
• Analyze, cleanse, validate, and integrate large structured, semi-structured, and unstructured datasets. 
• Develop and scale Natural Language Processing (NLP), OCR, semantic similarity, and Large Language Model (LLM) solutions. 
• Support Federal audit and criminal investigation activities by providing analytical insights and investigative data support. 
• Develop dashboards, visualizations, executive summaries, and technical reports using Power BI, Microsoft Excel, and related analytics tools. 
• Automate analytical processes using Python, SharePoint, SQL, and cloud-native technologies. 
• Present methodologies, findings, and recommendations to technical teams, executive leadership, and non-technical stakeholders. 
• Collaborate with Data Engineers to optimize cloud-based analytics environments and machine learning pipelines. 
• Document analytical methodologies, production models, validation results, and supporting technical artifacts. 

Required Qualifications 

• Master's degree, Ph.D., or doctorate in Data Science, Machine Learning, Computer Science, Mathematics, Statistics, or a closely related field; or ten (10) years of equivalent professional experience. 
• Minimum five (5) years of hands-on experience designing, implementing, and maintaining advanced AI systems and predictive machine learning models. 
• Minimum five (5) years of experience developing fraud analytics solutions, statistical models, and predictive algorithms. 
• Minimum three (3) years of experience supporting fraud investigations, criminal investigations, audit analytics, or regulatory compliance programs. 
• Minimum three (3) years of professional Python development experience with Pandas. 
• Minimum three (3) years of experience working within Microsoft Azure, AWS, or Google Cloud Platform environments. 
• Minimum two (2) years of experience performing advanced SQL development using SQL Server and PostgreSQL. 
• Minimum two (2) years of experience developing and deploying Natural Language Processing (NLP) solutions. 
• Experience presenting analytical methods, visualizations, and findings to technical and non-technical stakeholders. 
• Strong analytical, communication, documentation, and problem-solving skills. 

Technical Areas 

Artificial Intelligence & Machine Learning 

• Artificial Intelligence (AI) 
• Machine Learning (ML) 
• Supervised Learning 
• Unsupervised Learning 
• Predictive Analytics 
• Predictive Modeling 
• Fraud Analytics 
• Fraud Detection 

Statistical Analytics 

• Regression Analysis 
• Classification 
• Clustering 
• Ensemble Learning 
• Bayesian Analysis 
• Statistical Modeling 
• Anomaly Detection 
• Risk Modeling 

Data Science & Analytics 

• Data Quality Analysis 
• Data Cleansing 
• Exploratory Data Analysis 
• Feature Engineering 
• Structured & Unstructured Data 
• Data Visualization 

Natural Language Processing 

• NLP 
• OCR 
• Semantic Similarity 
• Large Language Models (LLMs) 
• Text Analytics 

Tools & Platforms 

Platforms 

• Microsoft Azure 
• AWS 
• Google Cloud Platform 

Programming Languages 

• Python 
• SQL 
• T-SQL 

Frameworks & Libraries 

• Pandas 
• NumPy 
• Scikit-learn 
• TensorFlow 
• PyTorch 

Databases 

• SQL Server 
• PostgreSQL 

Cloud Platforms 

• Microsoft Azure 
• Azure Machine Learning 
• Azure Data Lake 
• Azure Synapse Analytics 

DevSecOps & Automation 

• Git 
• Azure DevOps 
• GitHub 
• GitHub Actions 
• CI/CD 

Monitoring & Reporting 

• Power BI 
• Microsoft Excel 
• SharePoint 
• Tableau 

Preferred Certifications 

• Microsoft Certified: Azure AI Engineer Associate 
• Microsoft Certified: Azure Data Scientist Associate 
• AWS Certified Machine Learning – Specialty 
• Google Professional Machine Learning Engineer 

Preferred Qualifications 

• Experience supporting Federal Government agencies. 
• Experience supporting fraud detection, financial crime analytics, or investigative analytics. 
• Experience developing cloud-native AI and machine learning solutions. 
• Experience working within Azure analytics environments. 
• Experience supporting compliance-driven and mission-critical programs. 
• Experience working in Agile development environments. 

Work Environment 

• Full-time position. 
• Remote within the United States. 
• Standard business hours Monday through Friday. 
• Occasional travel may be required to support customer meetings, workshops, and program activities. 

WINTrio Benefits 

• Healthcare (Medical, Dental, and Vision) 
• Flexible Spending Account (FSA) and Health Savings Account (HSA) 
• 401(k) and Retirement Savings Plan 
• Annual Bonus and Profit Sharing Opportunities 
• Paid Time Off (PTO) and Vacation 
• Employee Assistance Program (EAP) 
• Life, Personal, and Voluntary Disability Insurance 

Growth Opportunities 

This position offers opportunities to work on cutting-edge Artificial Intelligence, Machine Learning, cloud analytics, fraud detection, advanced data science, and Federal digital modernization initiatives. WINTrio is an employee-driven company where innovation, collaboration, and professional growth are fundamental to our success. 

Equal Opportunity Employer 

WINTrio LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.