Data Scientist

Leidos, Inc.
Alexandria, VA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Compensation
$92,300 - $166,850
Working hours
Regular working hours

Tech stack

Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Cloud Engineering Cyber Security Databases Data Architecture Data Governance Extract Transform Load (ETL) Data Migration Data Security Data Structures
+14 more
Python (Programming Language) NoSQL Operational Data Store Standard Sql DataOps Scaled Agile Framework Data Processing Cloud Platform System Backend Data Management Machine Learning Operations Api Design Data Pipelines Programming Languages

Job description

Leidos is actively hiring for multiple Data Scientist to support our team in Alexandria, VA.

The Data Scientist shall support the maintenance and implementation of the data architecture for all Program data. This position requires experience with databases, cloud architecture, and compliance with data standards. This position is responsible for maintaining data backend workflows that allow for the movement of data across security domains and across systems.

Primary Responsibilities

Β· 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.

Β· Develop workflows to enable API-based movement of data related to the sensors between data platforms as directed by the government.

Β· Ensure all sensor data adheres to Government directed data schemas, formats, and governance requirements

Β· Assess potential differences in metadata, data format, and data structure characteristics in regards to 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

Β· 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.

Requirements

Data Science, Data Science, Team Building, Information/Data Security (InfoSec), Data Processing, Database Technology, Data Management, Database Extract Transform and Load (ETL), Database Administration, Government, Β· 4+ years of experience working with SQL or NoSQL databases and cloud architectures

Β· Experience leveraging APIs to query systems and migrate data

Β· Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences.

Β· Experience with programming languages such as Python, JavaScript, or Java

Β· Experience developing and sustaining operational data pipelines supporting multiple data formats and interfaces.

Β· Bachelor’s Degree in related field. Additional years of experience can be considered in lieu of degree

Preferred Qualifications:

Β· 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.

Β· Experience implementing processes, standards, and tools within an organization based on the Scaled Agile Framework for Enterprise.

Β· Experience developing dynamic visualizations to monitor availability, currency and volumetrics of operational data pipelines Required Tasks:

o #GEOINTMISSION

About the company

If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30 - and moving faster than anyone else dares.

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