Data Scientist / Machine Learning Engineer

ECS is seeking a Data Scientist/Machine Learning Engineer to join its team in Arlington, Virginia. The role focuses on designing, developing, deploying, and optimizing advanced analytics and machine learning solutions, including predictive models, AI applications, MLOps pipelines, and cloud-based platforms. The position also involves collaborating with business stakeholders and technical teams to integrate scalable AI solutions into enterprise processes.

Responsibilities

• Analyze structured and unstructured data to identify trends, patterns, and actionable insights
• Develop predictive, prescriptive, and classification models to support business objectives
• Perform exploratory data analysis (EDA), feature engineering, and statistical modeling
• Design experiments and evaluate model performance using appropriate statistical methodologies
• Present findings and recommendations to technical and non-technical stakeholders
• Support efforts in anomaly detection
• Design, build, train, and optimize machine learning and deep learning models
• Develop solutions for forecasting, anomaly detection, natural language processing (NLP), recommendation systems, and computer vision applications
• Evaluate and select appropriate algorithms based on business requirements and performance objectives
• Continuously improve model accuracy, scalability, and maintainability
• Deploy machine learning models into production environments
• Build automated model training, validation, deployment, and monitoring pipelines
• Implement CI/CD practices for machine learning workflows
• Support AI/ML-assisted clustering efforts
• Monitor model performance and address model drift, data drift, and operational issues
• Maintain model governance, versioning, and documentation standards
• Collaborate with data engineers to develop scalable data pipelines and feature stores
• Integrate machine learning solutions into enterprise applications and business processes
• Optimize data processing workflows for large-scale datasets
• Ensure data quality, security, and compliance standards are maintained
• Develop and deploy solutions using cloud-native AI and machine learning services
• Leverage platforms such as Azure Machine Learning, AWS SageMaker, Databricks, Vertex AI, or equivalent technologies
• Perform multi-source summarization with human-review workflow by combining AI-driven aggregation of diverse sources with targeted human validation
• Utilize distributed computing frameworks to support large-scale analytics workloads
• Support enterprise AI strategy and modernization initiatives
• Partner with business leaders to identify opportunities for AI and advanced analytics solutions
• Translate business requirements into machine learning use cases and technical requirements
• Stay current on emerging technologies, AI trends, and industry best practices
• Contribute to innovation initiatives, proofs of concept, and research activities

Skills

• Top Secret Clearance
• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
• 5+ years of experience in Data Science, Machine Learning Engineering, Artificial Intelligence, or Advanced Analytics
• Strong understanding of machine learning algorithms, statistical analysis, and data modeling techniques
• Experience building and deploying machine learning models in production environments
• Proficiency in Python and machine learning libraries/frameworks
• Strong knowledge of SQL and data manipulation techniques
• Experience working with large datasets and cloud-based data platforms
• Excellent problem-solving, analytical, and communication skills

Benefits

• Hybrid work arrangement

Company Overview