Data Scientist - AI/ML & Predictive Analytics

• 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., * Predictive Analytics

• Classification Models

• Regression Models

• Clustering

• Forecasting

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., * 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., * 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, * 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.

• 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.

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.