Senior Data Scientist & ML Engineer — Production AI

ECS; Arlington (VA); Hybrid; USD 160,000 - 185,000; Full time

Job summary

Everforth ECS in Arlington, VA is seeking a Data Scientist / Machine Learning Engineer to design, deploy, and optimize advanced analytics and AI solutions. This role blends data science, ML engineering, and software development to transform complex data into scalable, production-ready models that drive business insights and operational efficiencies.

The ideal candidate has TS clearance, 5+ years in DS/ML, strong Python, SQL, and cloud experience, and a track record of deploying models in

Qualifications

• Bachelor's degree in a quantitative field (Data Science/CS/Math/Engineering).
• 5+ years of experience in Data Science, ML, AI, or advanced analytics.
• Strong Python proficiency and ML library experience.
• Experience deploying ML models in production environments, with cloud platforms.

Responsibilities

• Analyze structured and unstructured data to identify trends and insights.
• Develop predictive, prescriptive, and classification models to support business objectives.
• Perform EDA, feature engineering, and statistical modeling.
• Design experiments and evaluate model performance using proper methods.
• Present findings to both technical and non-technical stakeholders.
• Support anomaly detection and model governance in production.

Skills

Top Secret Clearance

Python

SQL

Statistical analysis

Model deployment

Communication

Problem-solving

Education

Bachelor's degree in Data Science or related field

Tools

Python libraries (scikit-learn)

TensorFlow / PyTorch

Azure ML / AWS SageMaker / Databricks

Job description

Everforth ECS in Arlington, VA is seeking a Data Scientist / Machine Learning Engineer to design, deploy, and optimize advanced analytics and AI solutions. This role blends data science, ML engineering, and software development to transform complex data into scalable, production-ready models that drive business insights and operational efficiencies.

The ideal candidate has TS clearance, 5+ years in DS/ML, strong Python, SQL, and cloud experience, and a track record of deploying models in