Senior Data Scientist

MANTECH

Springfield (VA)

On-site

USD 110,000 - 140,000

Full time

14 days+

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Job summary

MANTECH seeks a motivated Senior Data Scientist for a full-time onsite role in Springfield, VA. The candidate will create data pipelines for emergent sensors, develop APIs for data movement, and ensure compliance with government data schemas. A minimum of 10 years of experience is required, along with expertise in SQL, NoSQL, and programming languages like Python. An active TS/SCI clearance is necessary for this position, which includes the development of operational data pipelines and pre-processing of data for analysis. Competitive opportunities for professional growth await the right candidate.

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.
  • Experience leveraging APIs to query systems and migrate data.
  • Experience developing and sustaining operational data pipelines.

Responsibilities

  • Assist in creation of data pipelines for emergent sensors.
  • Develop workflows for API-based data movement.
  • Ensure sensor data adheres to governance requirements.
  • Assess database integration changes.
  • Pre-process and standardize data for labeling and model testing.

Skills

SQL
NoSQL
Python
JavaScript
Java

Education

Bachelor's Degree (or equivalent experience)
Master's Degree (or equivalent experience)

Job description

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.
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