Full-Time

Data Scientist

Posted on 11/21/2024

Parsons

Parsons

Compensation Overview

$149.9k - $269.8kAnnually

Senior

Odenton, MD, USA

US Top Secret Clearance Required

Category
Data Science
Data & Analytics
Required Skills
Microsoft Azure
Python
Tensorflow
R
Pytorch
Apache Spark
SQL
Java
AWS
Hadoop
Data Analysis
Google Cloud Platform
Requirements
  • Proven experience (5+ years) as a Data Scientist, with a focus on AI and ML in a classified environment.
  • Experience in developing and deploying ML models in high-security or government environments.
  • Hands-on experience with web services, API development, and integrating ML models into secure web applications.
  • Proficiency in programming languages such as Python, R, or Java.
  • Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience with data processing tools and platforms (e.g., SQL, Hadoop, Spark) in secure environments.
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and web services architecture, with a focus on security.
  • Bachelors in a STEM discipline
  • Active Top Secret with SCI (Sensitive Compartmented Information) with Polygraph
Responsibilities
  • Analyze sensitive datasets to identify trends, anomalies, and insights that support mission objectives.
  • Develop and validate predictive models, AI algorithms, and expert systems that meet high-security and performance standards. Ensure that all models meet stringent security and accuracy requirements.
  • Design, develop, and deploy ML models for secure environments, addressing unique challenges in data access, processing, and model deployment.
  • Implement AI solutions that enhance decision-making, process optimization, and intelligence analysis.
  • Collaborate with data engineers and developers to integrate ML models into secure web services and applications.
  • Develop and secure APIs for integrating ML models into web services, ensuring compliance with security protocols and performance standards.
  • Collaborate with engineers and developers to integrate AI/ML models and expert systems into secure web services and applications. Monitor and optimize the performance of deployed models and expert systems.
  • Collaborate with stakeholders to understand mission-critical needs and translate them into secure, data-driven solutions.
  • Communicate complex technical concepts to non-technical team members and stakeholders, maintaining clarity and confidentiality.
  • Adhere to and enforce strict security guidelines, ensuring all data handling, model development, and deployment processes meet regulatory and organizational standards.
  • Work with security teams to audit and secure AI/ML workflows and web services.

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A