POLY REQUIRED

Falls Technology•McLean, VA

10h•Onsite

About The Position

Falls Technology is looking for an experienced Data Scientist / Software Engineer to join our team supporting a mission-focused analytics and application development environment in McLean, VA. This is a hands-on technical role at the intersection of data science and software engineering. We’re looking for someone who can develop and deploy NLP and machine learning capabilities while also contributing to production-quality software and backend services. Candidates with strong Java development experience will be given priority.

Requirements

Active TS/SCI clearance with Polygraph.
Significant hands-on experience in data science, software engineering, or a combination of both.
Strong Python development experience.
Experience developing NLP solutions using one or more of the following: spaCy, Gensim, NLTK.
Experience with deep learning frameworks such as: PyTorch, TensorFlow, Keras.
Experience developing and working with SQL-based data solutions.
Understanding of object-oriented programming concepts.
Experience working within Linux environments.
Experience using Git and modern source-control practices.
Experience developing, integrating, or deploying applications within AWS environments.

Nice To Haves

Strong Java development experience.
Experience with Java Spring and Spring Data JPA.
Strong understanding of Java object-oriented design and development.
Experience with Java multithreading, concurrency, and JVM memory management.
Experience with Maven and/or Gradle.
Experience using Eclipse or similar Java development environments.
Experience with Jenkins and automated CI/CD pipelines.
Experience developing against Oracle databases.
Experience deploying and supporting applications using Apache Tomcat.

Responsibilities

Design, develop, and implement data science and machine learning solutions supporting mission requirements.
Develop Natural Language Processing (NLP) capabilities using Python libraries such as spaCy, Gensim, and NLTK.
Develop and integrate machine learning and deep learning models using PyTorch, TensorFlow, Keras, or similar frameworks.
Build production software and backend services using Java and Spring.
Develop data access and persistence capabilities using Spring Data JPA.
Design and develop solutions integrating relational databases, including Oracle and SQL-based systems.
Develop and deploy capabilities within AWS environments.
Integrate data science models and analytics into operational applications and workflows.
Develop, test, troubleshoot, and optimize software running within Linux environments.
Work within modern software development and CI/CD environments using Git and Jenkins.
Collaborate with data scientists, software developers, engineers, and mission users to translate requirements into operational capabilities.
Support deployment and operation of applications within Apache Tomcat and related application environments.