Home Bahrain Data Scientist

Home Bahrain Data Scientist

Data Scientist

Full time at Prescient Edge in Bahrain
Posted on October 9, 2024

Job details

Advance your career in a dynamic, fast-paced operational environment.

Explore Open Positions At Prescient Edge

The common thread that binds us at Prescient Edge is a voracious passion for learning, but our team hails from a diverse array of backgrounds – government, international relations, law enforcement, consulting, and linguistics training, to name a few. We’re thankful to work alongside such driven, collaborative, high-performing people who know how to have a good laugh while undertaking complex, thought-provoking projects. With learn-on-the-go opportunities abound, we take pride in amplifying our employees’ passions and talents as drivers of growth for our clients and for our company. Think you’re up to the task? Check below for ways to join our growing team! Prescient Edge is seeking a Data Scientist to:

Introduction

The position supports the mission of Combined Task Force FIVE NINE (CTF-59), subordinate to Commander, United States Naval Forces Central (CUSNC) and Commander, U.S. FIFTH Fleet (C5F). CTF-59 works with government organizations, industry, and academia to field unmanned systems (UxS) integrated with artificial intelligence (AI) to support Maritime Domain Awareness (MDA) across the FIFTH Fleet area of responsibility (AOR). CTF-59 aims to provide a holistic approach to the integration of UxS and AI, vertically from seabed to space and horizontally across Task Forces, the Joint Force, and with international partners, to deliver a tactical advantage to the warfighter.

Major Duties and Responsibilities

  • Research, evaluate, and scope employment of artificial intelligence, machine learning, computer vision, and data analysis solutions into CUSNC operations.

Additional Duties and Responsibilities

  • Advise CTF-59 on relevant research and analytical studies that can be applied to support critical operational problems. Inform leadership on technical tools, methodologies, and resources used for conducting studies and analyzing operationally relevant information. Identify operational test objectives, define requirements, metrics, measures of effectiveness, and expected outcomes. Apply advanced operations research and data science techniques for quantitative analysis, forecasting, predictive modeling, prescriptive analysis, and optimization.

Position Experience and Knowledge Required

  • Professional knowledge and mastery of advanced artificial intelligence, machine learning, computer vision, and data analysis.
  • Experience employing industry standard technologies including Amazon Web Services, PyTorch, Docker, and PostgreSQL. Experience coordinating data transmission pipelines across multiple organizations along with integrating human-in-the-loop artificial intelligence models.
  • Work will be performed in a hybrid manner. The position requires in-person collaboration with CTF-59 personnel along with perspective operational end-users. Additional research and report drafting can be accomplished remotely.
Prescient Edge is a Veteran-Owned Small Business (VOSB) founded as a counterintelligence (CI) and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions integrator delivering full-spectrum intelligence analysis support, training, security, and RD&E support solutions to the Department of Defense and throughout the intelligence community. Prescient Edge is an Equal Opportunity Employer (EEO). All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic that is protected by law. We strive to foster equity and inclusion throughout our organization because we believe that diversity of thought is critical for creating a safe and engaging work environment while also enabling the organization’s success. #J-18808-Ljbffr

Apply safely

To stay safe in your job search, information on common scams and to get free expert advice, we recommend that you visit SAFERjobs, a non-profit, joint industry and law enforcement organization working to combat job scams.

Share this job
Improve your chance to get this job. Do an online course on Data Science starting now. Claim $10 promo towards online courses. See all courses
See All Data Jobs
Feedback Feedback