Data Science Software Engineer

Are You a Software Engineer Who Enjoys Building Advanced Analytics and AI Solutions? QSSHire is seeking an experienced Data Science Software Engineer to support the development, enhancement, and modernization of compliance analytics and business process automation capabilities. The ideal candidate will leverage software engineering, machine learning, and data science expertise to build scalable analytics solutions, develop AI/ML proof-of-concepts, and improve operational efficiency through automation and advanced data processing techniques. This role offers the opportunity to work on cutting-edge machine learning initiatives, modern data architectures, and emerging AI technologies in a highly collaborative environment.

In This Role, You’ll:

• Design, develop, and enhance analytics applications and compliance automation tools.
• Build, train, deploy, and monitor machine learning models supporting mission and business objectives.
• Research, evaluate, and integrate emerging AI and machine learning technologies.
• Develop proof-of-concept solutions and prototypes to support modernization initiatives.
• Engineer scalable data processing workflows and analytics pipelines.
• Perform feature engineering and model optimization for machine learning applications, including Random Forest models.
• Develop software solutions using Java, Scala, and Python.
• Work with structured and unstructured data using SQL, JSON, Lucene, and JEXL.
• Implement metrics, monitoring, and observability capabilities for applications, models, and data flows.
• Collaborate with technical teams and stakeholders to document requirements, designs, and operational procedures.
• Participate in code reviews, testing activities, troubleshooting efforts, and continuous improvement initiatives.
• Utilize Agile development methodologies and modern software engineering practices throughout the development lifecycle.

• 20+ years of software engineering experience supporting programs of similar scope and complexity.
• Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline. Four additional years of software engineering experience may be substituted for a degree.
• Strong experience developing applications with: Java, Scala, Python
• Experience with: Linux development environments, Lucene, JEXL, SQL, JSON, Git/GitLab, Stash, or Bitbucket, Jira, Confluence, Jupyter Notebooks, IntelliJ and/or Eclipse
• Experience developing, deploying, and monitoring machine learning models.
• Experience performing feature engineering and working with Random Forest algorithms.
• Experience with Scikit-learn.
• Experience with distributed processing technologies such as MapReduce/Ghostmachine.
• Strong analytical, problem-solving, and technical documentation skills.
• Ability to work independently and collaboratively within cross-functional teams.
• Excellent verbal and written communication skills.

Bonus Points If You Have:

• Data Science education or professional experience.
• Experience implementing production Machine Learning systems.
• Experience with AWS cloud services.
• Experience with Apache Spark.
• Experience performing Exploratory Data Analysis (EDA).
• Experience developing machine learning feature pipelines.
• Experience with Agentic AI frameworks and architectures.
• Experience working with Large Language Models (LLMs).
• Experience evaluating and implementing advanced machine learning algorithms and techniques.
• Experience supporting compliance, governance, or enterprise analytics initiatives.

As a modern Talent-as-a-Service recruiting partner, QSSHire connects top technical professionals with meaningful opportunities supporting critical government missions. We focus on transparency, career growth, and helping talented individuals make a lasting impact through innovative technology solutions.