Data Scientist – AI/ML & Predictive Analytics

Position Title: Data Scientist – AI/ML & Predictive Analytics 
Location: Remote (U.S.) with Occasional Travel 
Client: Federal / Public Sector Programs 
Work Authorization: Candidates must be authorized to work in the United States. U.S. Citizenship may be required based on client assignment. 

📩 To apply, please submit your resume to careers@wintrio.com or complete the application form below. 

Job Summary 

WINTrio LLC is seeking an experienced Data Scientist to develop advanced analytics, machine learning (ML), artificial intelligence (AI), and predictive modeling solutions that support Federal mission objectives and data-driven decision making. 

This role focuses on designing, training, validating, deploying, and optimizing machine learning models using structured, semi-structured, and unstructured datasets. The successful candidate will collaborate with Data Engineers, Data Analysts, Software Developers, Cloud Engineers, and program stakeholders to build scalable AI/ML solutions that improve operational efficiency, forecasting, risk management, and mission outcomes. 

The ideal candidate possesses strong expertise in statistics, predictive analytics, machine learning, and programming, with experience deploying production-ready AI/ML solutions within enterprise or cloud environments. 

Job Responsibilities 

• Design, develop, train, validate, and deploy machine learning models supporting classification, regression, clustering, forecasting, recommendation, and anomaly detection. 

• Perform exploratory data analysis (EDA), feature engineering, feature selection, and data preparation for machine learning applications. 

• Develop predictive analytics models supporting forecasting, trend analysis, operational optimization, and decision support. 

• Evaluate, tune, and optimize machine learning models using cross-validation, hyperparameter optimization, and performance evaluation techniques. 

• Deploy machine learning models into production environments using APIs, cloud-native services, containers, or automated ML pipelines. 

• Work with structured, semi-structured, and unstructured datasets across enterprise and cloud platforms. 

• Collaborate with Data Engineers to integrate AI/ML models into enterprise data pipelines and production systems. 

• Document models, assumptions, methodologies, validation results, and technical findings for both technical and business stakeholders. 

• Support AI governance initiatives, including model explainability, fairness, reproducibility, monitoring, and lifecycle management. 

• Develop dashboards, reports, and visualizations that communicate analytical insights to executive leadership and program stakeholders. 

• Support continuous improvement initiatives focused on AI innovation, predictive analytics, and data modernization. 

Required Qualifications 

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Engineering, or a related field. 

• Minimum five (5) years of experience in Data Science, Machine Learning, Predictive Analytics, or Artificial Intelligence. 

• Strong programming experience using Python or R. 

• Strong understanding of statistics, probability, predictive modeling, and machine learning algorithms. 

• Experience working with large structured, semi-structured, and unstructured datasets. 

• Experience developing and deploying machine learning models into production environments. 

• Strong written and verbal communication skills. 

• Strong analytical, mathematical, and problem-solving abilities. 

Technical Areas 

Artificial Intelligence & Machine Learning 

• Machine Learning 

• Artificial Intelligence 

• Predictive Analytics 

• Classification Models 

• Regression Models 

• Clustering 

• Forecasting 

• Recommendation Systems 

• Anomaly Detection 

Data Science 

• Exploratory Data Analysis (EDA) 

• Statistical Analysis 

• Feature Engineering 

• Feature Selection 

• Model Training 

• Model Validation 

• Model Optimization 

• Model Evaluation 

Advanced Analytics 

• Predictive Modeling 

• Decision Support Analytics 

• Trend Analysis 

• Data Mining 

• Pattern Recognition 

• Statistical Modeling 

AI Governance 

• Model Explainability 

• Responsible AI 

• Model Monitoring 

• Model Reproducibility 

• Model Lifecycle Management 

Tools & Platforms 

Programming Languages 

• Python 

• R 

Python Libraries 

• NumPy 

• Pandas 

• Scikit-learn 

Machine Learning Frameworks 

• TensorFlow 

• PyTorch 

• XGBoost 

• LightGBM 

Data Processing Platforms 

• Apache Spark 

• Databricks 

• Dask 

Data Visualization 

• Matplotlib 

• Plotly 

• Seaborn 

Model Deployment 

• REST APIs 

• Flask 

• FastAPI 

• Docker 

Cloud AI Platforms 

• AWS SageMaker 

• Microsoft Azure Machine Learning 

• Google Cloud AI Platform 

Databases 

• SQL 

• NoSQL Databases 

Version Control & MLOps 

• Git 

• MLflow 

• Data Version Control (DVC) 

Machine Learning Concepts 

• Cross-Validation 

• Hyperparameter Tuning 

• Feature Engineering 

• SHAP 

• LIME 

• Model Explainability 

Preferred Certifications 

• AWS Certified Machine Learning – Specialty 

• Microsoft Azure AI Engineer Associate 

• Google Professional Data Engineer 

• Certified Analytics Professional (CAP) 

Preferred Qualifications 

• Experience supporting Federal analytics, artificial intelligence, or machine learning programs. 

• Experience deploying production-ready machine learning models within cloud environments. 

• Experience supporting MLOps, model governance, and AI lifecycle management. 

• Experience with Natural Language Processing (NLP), Large Language Models (LLMs), Generative AI, or Computer Vision. 

• Experience working with sensitive, regulated, or high-volume datasets. 

• Familiarity with Federal AI governance, responsible AI practices, and emerging AI technologies. 

Work Environment 

• Full-time position. 

• Remote within the United States. 

• Standard business hours Monday through Friday. 

• Occasional travel may be required in support of customer meetings, technical 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 

There is ample opportunity to grow in multiple dimensions, including Artificial Intelligence (AI), Machine Learning (ML), Generative AI, predictive analytics, cloud data platforms, advanced analytics, enterprise data modernization, and business development. We are a completely employee-driven company, and our continued success is built on the talent, dedication, and innovation of our team members. 

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.