Senior Data Scientist & ML Engineer — Production AI

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

Benefits offered by this job

Top Secret Clearance

Job summary

Everforth ECS is seeking a Data Scientist/ML Engineer to join our team in Arlington, VA. This hybrid role focuses on designing, developing, deploying, and optimizing advanced analytics and AI/ML solutions to drive business insights and operational efficiencies.

The ideal candidate will excel in statistical analysis, ML algorithms, MLops, and cloud platforms, collaborating with data engineers and business stakeholders to deliver production-ready AI solutions.

Qualifications

• 5+ years of experience in Data Science, ML or AI.
• Strong understanding of ML algorithms, statistical analysis, and data modeling.
• Experience building and deploying ML models in production environments.
• Proficiency in Python and ML libraries/frameworks.
• Strong SQL knowledge and experience with cloud-based data platforms.
• Excellent problem-solving, analytical, and communication skills.

Responsibilities

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

Skills

Python

Machine Learning

Data Analysis

Problem Solving

Communication

Education

Bachelor's degree in Data Science, CS, Statistics, Math, Engineering or related field

Tools

AWS SageMaker

Azure ML

Databricks

TensorFlow

PyTorch

Job description

Everforth ECS is seeking a Data Scientist/ML Engineer to join our team in Arlington, VA. This hybrid role focuses on designing, developing, deploying, and optimizing advanced analytics and AI/ML solutions to drive business insights and operational efficiencies.

The ideal candidate will excel in statistical analysis, ML algorithms, MLops, and cloud platforms, collaborating with data engineers and business stakeholders to deliver production-ready AI solutions.