Remote Data Scientist - Enterprise ML & Pipelines for DoD

LinTech Global, Inc.; Washington (District of Columbia); Remote; USD 110,000 - 150,000; Full time

Benefits offered by this job

Open Paid Time Off

Federal Holidays

Health Insurance with Company contrib

Job summary

Dexian Government Solutions is recruiting a Journeyman Data Scientist to support the CEMDAR program in Washington, DC. This remote position focuses on enterprise data pipelines, ML models, and analytics for Air Force/Space Force cost analysis.

The role requires 5+ years in data science, Python/R, ETL, and Databricks expertise, with active SECRET clearance. Collaboration with government stakeholders is essential to deliver scalable insights and visualization.

Qualifications

• Minimum 5 years of data-science experience.
• Proficiency in Python and/or R.
• Experience developing and maintaining data pipelines.
• Knowledge of ETL processes and frameworks.
• Advanced knowledge of Databricks or similar platforms.

Responsibilities

• Support development of enterprise data pipelines, machine-learning models, analytical capabilities, and data-driven decision-support products for Air Force and Space Force cost analysis.
• Work within an integrated team of data scientists, data engineers, cost estimators/analysts, and Government stakeholders.
• Support CEMDAR's transition toward integrated enterprise data pipelines, scalable analytics, predictive models, applications, and visualization.

Skills

Python

R

Data pipelines

ETL

Databricks

ML frameworks

Tableau/Power BI

Cross-functional collaboration

Secret clearance

5+ years experience

Tools

None

Job description

Dexian Government Solutions is recruiting a Journeyman Data Scientist to support the CEMDAR program in Washington, DC. This remote position focuses on enterprise data pipelines, ML models, and analytics for Air Force/Space Force cost analysis.

The role requires 5+ years in data science, Python/R, ETL, and Databricks expertise, with active SECRET clearance. Collaboration with government stakeholders is essential to deliver scalable insights and visualization.