Job Description

Description

The Customer has an environment dedicated to tradecraft innovation and is a unique addition to the Intelligence Community (IC). This office incorporates new and emerging commercial technologies, along with tailored and specific technical and analytic capabilities in order to achieve its core mission. Partnerships with tradecraft schools and mission elements drive discovery and definition of projects suitable to Customer’s capabilities. The Customer provides an environment for concept incubation, prototype evaluation, and pilot execution in the effort to advance technical intelligence, tradecraft, capabilities, and techniques. The efficiencies gained by collocating technical tradecraft capabilities with new employee training and development provides a comprehensive perspective of exactly what new employees may encounter when they go to the field. 

CORE COMPETENCIES:

• Data Science Support - Work to incorporate AI/ML into systems to address Customer key intelligence questions. Uses development tools such as Python, leverage statistical reasoning and methods to critically assess datasets and the validity of data science findings. Requires familiarity with intelligence collection approaches, Customers tradecraft, analytic lifecycle, or a demonstrated ability to engage Customer’s mission partners to understand and anticipate their priorities.

Qualifications

Data Scientist

Required Skills:

TS/SCI with Polygraph

1. Demonstrated experience with deploying and developing cloud-based systems from the ground up using CloudFormation and Cloud Development Kit (CDK) with services including: • Elastic Map Reduce (EMR) • Elastic Compute Cloud (EC2) • Fargate • Application Load Balancer (ALB) • Simple Storage Service (S3) • Route53 • Relational Database Service (RDS) • Identity Access Management (IAM) • Simple Notification Service (SNS) • Simple Queue Service (SQS) • Lambda • Elastic Block Storage (EBS) • CloudWatch • CloudTrail • Config • Secret Manager • Key Management Service (KMS)

2. Demonstrated experience with deploying and developing Spark Streaming

3. Demonstrated experience deploying Dockerized Python micro services with FastAPI.

4. Demonstrated experience developing and deploying machine learning algorithms with Scikit-Learn, SciPy and MUKH.

5. Demonstrated experience deploying Docker containers for staged applications.

6. Demonstrated experience using Git and Gitlab.

7. Demonstrated experience collecting and managing requirements from users in a formal and adhoc manner.

8. Bachelor’s Degree or 4 years’ experience in Computer Science or related field.

Desired Skills:

1. Demonstrated experience or understanding of cellular network operations/exploitation.

2. Demonstrated experience or understanding of vehicle systems telematics.

3. Demonstrated experience with VMware or equivalent.

4. Demonstrated experience or understanding with Python AI/ML.

5. Demonstrated experience or understanding with OpenCV.

6. Demonstrated experience with scikit-learn, tensorflow, or pytorch.

7. Demonstrated experience or understanding with Software Defined Radios (SDR) and related software (KISMET, GNURadio, rtl_433).

8. Demonstrated experience with JavaScript UI libraries such as vuetify, leaflet and pixi.js.

9. Demonstrated experience with opensource video analytic and CCTV tools (i.e. OpenMPF, Shinobi, MotionEye, and/or ffmpeg).

10. Demonstrated experience with ARM, PowerPC, MIPS, and x86, x64 architectures & assembly.

11. Demonstrated experience developing and writing code for soho/mobile devices.

12. Demonstrated experience understanding the design and programming for systems integration of complex systems.

13. Demonstrated experience implementing ICD directives.

14. Demonstrated experience documenting networks and diagraming networks.

15. Demonstrated experience with Sponsor’s network and security requirements for Approval to Develop (ATD) and Authority to Operate (ATO).

16. Demonstrated experience or knowledge of using JIRA and Confluence for tracking and managing project progress.

17. Demonstrated experience building production grade applications on relational and unstructured streaming data.

18. Cloud certifications (AWS Solutions Architect, AWS DevOps Professional), and Certified Information Systems Security Professional (CISSP)

19. Experience being responsible for developing and maintaining an cloud-based environment that contains data of the highest sensitivity.

20. Experience primarily working independently as the single point of failure for all systems administration work on the environment.

21. Experience performing security assessments to identify and correct weaknesses or deficiencies within the information system and its environment of operation.

22. Experience being directly involved in processing all customer efforts through the various facets of the Risk Management Framework (RMF) and Assessment & Authorization (A&A) processes.

23. Experience performing system configuration and patch management on live critical systems.

24. Experience implementing corrective actions to address identified vulnerabilities, negotiate and coordinate with the program on an acceptable mitigation plan, and then verifying those mitigations were effectively implemented.

25. Experience acting as a point of contact (POC) with department personnel and performing requirements gathering and application design to support operational facing customer needs in an Agile methodology.

SAIC accepts applications on an ongoing basis and there is no deadline.


Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.

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