Senior Information Operations Data Scientist - Arlington, VA, United States - Castellum Inc

Description

JOB SUMMARY

The Senior Information Operations Data Scientist provides support to the Headquarters Department of the Army (HQDA) G-3/5/7 DAMO-SOI.

RESPONSIBILITIES

• Support DAMO-SOI efforts to incorporate artificial intelligence (AI), machine learning (ML), and natural language processes (NLP) into existing and developing Army capabilities in the context of enabling the Army forces to consolidate, contextualize, and leverage information at scale and at speed in support of operations.
• Liaison with Army, Joint, and DoD AI/ML capability development organizations to represent the DAMO-SOI portfolios including Operational Security, Information Advantage Misinformation/Disinformation (M/D), Joint Operations in the Information Environment (OIE), Publicly Available Information (PAI), Technical Effects, and Data for influence.
• Prepare briefings, information/decision papers, policy documents, staffing packages, EXORDs, memorandums, SITREPs and official multimedia correspondence related to DAMO-SOI.
• Participate in DoD, Joint, and Army projects, studies, and working groups within the DAMO-SOI portfolio including Joint Operations in the Information Environment (OIE), Operational Security, Information Advantage, Misinformation/Disinformation (M/D), Publicly Available Information (PAI), Technical Effects, and Data for influence.
• Assist DAMO-SOI in PPBE processes including acquisitions, resourcing, and overall Pentagon processes.
• Assist DAMO-SOI in researching inquiries from Congress and other higher authorities and provide draft responses regarding any aspect of the DAMO-SOI portfolio.

K NOWLEDGE/SKILLS/ABILITIES

• Provide SME-level expertise in development and application of artificial intelligence (AI), machine learning (ML), and natural language processes (NLP) in the context of developing information based capabilities for Army forces.
• Ability to characterize the potential and limitations of how AI and ML can be used to manipulate outcomes against and in favor of Army forces and develop recommendations countermeasures to reduce susceptibility to that manipulation.
• Participates in the Army Planning, Programming, Budgeting and Execution (PPBE) process and can drive initiatives through the Army's PPBE process.
• Support AI/ML/DS needs submitted by Army commands through refinement of requirements and development of resourcing and policy solutions.
• Ability to work and lead a diverse team in a fast-paced environment with enthusiasm to thrive in an atmosphere of constant change.
• Ability to translate complex technical problems sets and condense for executive level decision.
• Ability to write, brief and plan for a DoD GO/SES level audience.
• Familiarity with unsupervised, semi-supervised, and supervised learning algorithms (and when it is appropriate to use each), as well as with feature selection, feature extraction (a plus), and common hyper-optimization techniques with different AI models.
• Knowledge and experience of deep learning architectures with high level of experience and capabilities with Python and R, with strong skills in Python Numpy, Pandas, and keras (tensorflow or pytorch is a plus).
• Ability to identify and deploy novel solutions to support Army IA stakeholder requirements.
• Familiarity with HQDA processes and systems.
• Familiarity with the Microsoft 365 and Adobe suites of tools
• Excellent written and verbal communications skills.
• Attention to detail.
• Familiarity with the military decision-making process
• Demonstrated ability to work independently and effectively in a dynamic team environment.
• Demonstrated ability to prioritize competing tasks and meet short­ suspense deadlines in a fast-paced environment.
• Ability to travel in support of DAMO-SOC requirements.

QUALIFICATIONS

Minimum Qualifications include:

• Master's Degree with 10+ years' experience or BS and 12+ years of experience statistics, mathematics, computer science, or other relevant quantitative field
• Experience with Service IA implementation and Information Operations, Cyberspace, Public Affairs and Psychological Operations (MISO) execution.
• Implementing and updating machine learning algorithms and neural networks in production settings.
• Experience with Generative Adversarial Networks (GANs) application in support of synthetic image, video and voice generation.
• Demonstrated experience of four (4) years in creating machine and deep learning applications.
• Knowledge and experience of deep learning architectures with high level of experience and capabilities with Python and R, with strong skills in Python Numpy, Pandas, and keras.

Preferred Qualifications:

• Experience with TensorFlow or Pytorch.
• Four years of experience supporting operations at the HQDA level or higher
• Experience and knowledge of military documentation process.
• Familiarity with the Joint Capabilities Integration and Development System (JCIDS)
• Familiarity with the Planning, Programming, Budgeting, and Executing (PPBE) process.
• Familiarity with the structure and functions of OSD, Joint Staff, HQDA, Combatant Commands, Army Service Component Commands (ASCCs), Combined Arms Command (CAC), and Army-Futures Command (AFC).

Corvus Consulting, LLC. provides equal employment opportunity (EEO) to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, genetic information, marital status, ancestry, protected veteran status, or any other characteristic protected by applicable federal, state, and local laws and offers equal opportunity for VEVRAA Protected Veterans. Corvus Consulting, LLC, will not discriminate against employees and job applicants who inquire about, discuss or disclose compensation information.

Reasonable accommodations that do not cause an undue hardship on the company may be made to enable individuals with disabilities to perform essential functions, as long as that would not hinder or prevent performance of duties or be of a safety concern.

PHYSICAL DEMANDS:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is required to reach with hands and arms. The employee is frequently required to sit, stand and walk. The employee may be required to move ten pounds and could occasionally lift or move up to twenty-five pounds.

Disclaimer: The listed duties are not intended to serve as a comprehensive list of all duties performed by all employees in this classification, only a representative summary of primary duties and responsibilities.

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