Mid-Level Python Data Scientist [$281k/yr+] TS/SCI-FS Poly with Security Clearance

Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered.

Summary: • Develop end-to-end natural language processing (NLP) pipelines and deep learning models utilizing Python, PyTorch, TensorFlow, and HuggingFace Transformers. • Fine-tune large language models (LLMs) and develop machine learning models for text classification and topic modeling. • Conduct advanced statistical analysis on personnel, intelligence, and performance metrics leveraging SQL. • Design and integrate backend applications and RESTful services utilizing Java, Spring Boot, AWS, and Linux environments.

Qualifications && Compensation: • Degree: Technical bachelor's degree or equivalent experience • Years of experience: 13+ years • Total Compensation: $281k+ yearly Job Description: • Design, train, and deploy NLP models using Python li braries such as SpaCy, Gensim, and NLTK. • Implement deep learning architectures using PyTorch, TensorFlow, and Keras, leveraging GPUs for accelerated computing. • Fine-tune and evaluate transformer-based architectures using the HuggingFace Transformers hub and li brary. • Perform complex statistical data analysis and metric evaluations using SQL and Oracle databases. • Develop robust backend microservices and RESTful web services using Java, Spring, Apache Tomcat, Maven, and Gradle. • Maintain high software quality and reliability through automated unit testing with JUnit and Mockito. • Deploy, manage, and optimize data workflows within Linux and AWS cloud environments using Git and Jenkins CI/CD pipelines. • Produce clear data visualizations to communicate analytical findings and model performance.

About SYSTOLIC: SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com. To learn about our compensation ranges, visit our

Pay Transparency page at: https://systolic.com/pay-transparency