Senior Data Scientist: Data Integration & ML Enablement

Machine Learning Technologies, LLC; Chantilly (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC in Chantilly, VA seeks a senior data engineer to design, develop, and optimize complex data environments. You will consolidate, transform, and analyze structured and unstructured data from diverse sources to support ML and analytics initiatives.

You will collaborate with software and data engineers, system admins, and analysts to ensure data quality, governance, and reliable data delivery within CI/CD pipelines.

Qualifications

• Minimum 6+ years of experience in data integration and data flows.
• Strong understanding of data generation, transformation and consumption across systems.
• Experience with data quality, governance, and dataset management.
• Familiarity with CI/CD and how data processes fit into application deployment.

Responsibilities

• Design, develop, and implement methods to collect, integrate, transform, manage, and analyze large datasets.
• Develop advanced statistical concepts, queries, and automated processes for data cleaning and modeling.
• Analyze data flows between applications and identify opportunities to improve quality, accessibility, and usability.
• Identify analytical data requirements and develop data-driven solutions for operational objectives.
• Collaborate with engineers and analysts to integrate data across environments and enable ML/AI capabilities.
• Develop and maintain automated data processes within CI/CD environments and investigate root causes.

Skills

Data integration

CI/CD pipelines

Data quality

Data governance

ML/AI data lifecycle

Cross-functional collaboration

Education

Bachelor's degree in Computer Science/Statistics/Math or related field

Job description

Machine Learning Technologies, LLC in Chantilly, VA seeks a senior data engineer to design, develop, and optimize complex data environments. You will consolidate, transform, and analyze structured and unstructured data from diverse sources to support ML and analytics initiatives.

You will collaborate with software and data engineers, system admins, and analysts to ensure data quality, governance, and reliable data delivery within CI/CD pipelines.