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Mid Level Biology Data Science Jobs (NOW HIRING)

We are seeking a Mid-Level Data Scientist to provide embedded automation and GEOINT integration support. In this role, you will design and implement automation and augmentation capabilities that ...

As a mid-level data scientist supporting a Space Force program, you will contribute to analytic development and mission-focused modernization across space-based GEOINT environments. You will work ...

We are seeking a Mid-Level Data Scientist to provide embedded automation and GEOINT integration support. In this role, you will design and implement automation and augmentation capabilities that ...

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As of Aug 12, 2026, the average yearly pay for mid level biology data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.
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Mid Data Architect / Data Scientist

Chenega MIOS SBU

Arlington, VA • On-site

Full-time

Re-posted 26 days ago


Job description

Job Summary:
Chenega MIOS SBU is a company that supports large-scale government operations by leveraging cutting-edge technology. They are seeking a Mid-Level Data Architect / Data Scientist to support the development and implementation of enterprise data architectures and analytics solutions for CDAO data-driven mission initiatives.
Responsibilities:
• Support development of scalable data architectures supporting analytics and AI initiatives.
• Design and maintain data pipelines and data processing workflows.
• Support development and deployment of machine learning and analytics models.
• Assist with the integration of multiple enterprise data sources and platforms.
• Support development of data governance and metadata management processes.
• Perform exploratory data analysis and support mission analytics activities.
• Collaborate with engineers and data scientists to deliver analytics solutions
• Other duties as assigned.
Qualifications:
Required:
• Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, or related field.
• 4+ years of experience in data engineering, data science, or analytics.
• Experience with data analytics tools, cloud data platforms, or machine learning frameworks.
• Active Secret security clearance required (or higher).
Preferred:
• Master Degree Preferred
• Experience supporting DoD, CDAO, Joint Staff, or federal data modernization initiatives, including AI/ML, advanced analytics, and enterprise data management programs.
• Experience with cloud-based analytics and data engineering platforms such as AWS, Azure, Databricks, Snowflake, Python, Spark, TensorFlow, PyTorch, or similar technologies, and relevant certifications such as Azure Data Engineer Associate, AWS Data Analytics Specialty, or equivalent.
Company:
Chenega MIOS (Military, Intelligence, and Operations Support) brings together a family of high‑performing companies united by a common purpose: supporting the most critical missions of the federal government, the Department of Defense, and the Intelligence Community. Founded in 1974, the company is headquartered in Anchorage, USA, with a team of 1001-5000 employees. The company is currently Late Stage.