Senior Data Scientist

Archer; Springfield (MA); On-site; USD 140,000 - 170,000; Full time

Job summary

Archer, in collaboration with MANTECH, seeks a Senior Data Scientist to join our onsite team in Springfield, VA. This role focuses on creating robust data pipelines, ETL processes, and API-driven data movement for emergent sensors and platforms.

Ideal candidates bring 10+ years of data experience, strong SQL/NoSQL and cloud architecture skills, and proficiency in Python/JavaScript/Java to support governance, standards, and data labeling workflows.

Qualifications

• 10+ years of professional experience in data science, analytics, or equivalent fields.
• 4+ years of experience with SQL or NoSQL databases and cloud architectures.
• Experience leveraging APIs to query systems and migrate data.
• Proficient in Python, JavaScript, or Java and building data pipelines.

Responsibilities

• Assist in creating data pipelines for emergent sensors and platforms, including databases, schemas, and ETL processes.
• Develop workflows enabling API-based data movement as directed by government.

Skills

SQL/NoSQL databases

APIs

Python/JavaScript/Java

Data pipelines

Job description

Archer is collaborating with MANTECH to connect them with exceptional professionals for this role. MANTECH seeks a motivated, career and customer-oriented Senior Data Scientist to join our team in Springfield, VA. This is a full-time onsite position.

Responsibilities Include But Are Not Limited To

• Assist in the creation of the necessary data pipelines to store and process data related to emergent sensors and platforms. This includes creation of any database tables and schemas, establishing relevant data health alerts, and the setup of data pipelines to support Extract, Transform, and Load (ETL) of all data related to the emergent sensors.
• Develop workflows to enable API-based movement of data related to the sensors between data platforms as directed by the government.
• Ensure all sensor data adheres to Government directed data schemas, formats, and governance requirements
• Assess potential differences in metadata, data format, and data structure characteristics regarding changes to databases, schemas, APis, and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline
• Determine how to pre-process and standardize the data to match existing data standards or to be transformed into a usable state for labeling and model testing purposes. This may involve converting between file format types or tiling full-size images into specified sizes or geospatial bounds (chipping), orthorectification, or other types of data standardization, transformation, or manipulation.

Minimum Qualifications

• 10+ years of experience; BA can account for 4 years while a MA/MS can account for 6 years of experience.
• 4+ years of experience working with SQL or NoSQL databases and cloud architectures is required.
• Experience leveraging APis to query systems and migrate data
• Experience with programming languages such as Python, JavaScript, or Java
• Experience developing and sustaining operational data pipelines supporting multiple data formats and interfaces.

Preferred Qualifications

• Experience working with NGA IT enterprise solutions (e.g., NGA CORE, NGA MLOps), Government Authority to Operate (ATO) processes, and Government Non-Person Entity (NPE) certificates.
• Experience implementing processes, standards, and tools within an organization based on the Scaled Agile Framework for Enterprise.
• Experience developing dynamic visualizations to monitor availability, currency and volumetrics of operational data pipelines

Clearance Requirements

• An active TS/SCI clearance with the ability to obtain and maintain a polygraph

Physical Requirements

• Must be able to remain in a stationary position for extended periods while performing imagery analysis and reporting.
• Must be able to occasionally move about the work area to collaborate with team members and access mission systems.