Data Science Software Engineer
- United States
Pay Range: $49,996.80 - $290,004.00 Pay ranges are a general guideline and not intended as a guaranteed and/or implied final compensation or salary for this job opening.
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Job details
- Pay
- Pay Range: $49,996.80 - $290,004.00 Pay ranges are a general guideline and not intended as a guaranteed and/or implied final compensation or salary for this job opening.
- Education
- Bachelor’s degree
- Posting language
- English
- Posted
Original job description
Swift is a privately held, mission-driven and employee-focused services and solutions company headquartered in Reston, VA. Our capabilities include Software Development, Engineering & IT, Data Science, Cyber Enablement, Logistics, and Training. Founded in 2019, Swift supports Civilian, Defense, and Intelligence Community customers across the country and around the globe. We are looking for a Data Science Software Engineer to join a growing team in Annapolis Junction, MD. The Data Science Software Engineer will design, develop, and prototype analytics solutions and tools that support compliance and business processing functions. This role will focus on creating automated approaches to streamline compliance processes, enhancing existing capabilities, and researching, integrating, and validating Machine Learning (ML) and Artificial Intelligence (AI) solutions within an R&D environment. The engineer will develop analytical models, establish performance metrics, and implement monitoring capabilities to assess and optimize tools, processes, and data workflows.
Required Skills:
Proficiency with Java, Scala, and Python Experience with Lucene, JEXL, SQL, JSON Random Forest and ability to do feature development for Random Forest Experience with Machine Learning Model building and monitoring Experience developing in a Linux operating environment Experience with Ghostmachine (Map/Reduce) Experience with GM Learn Experience with Jupyter Notebooks Experience with IntelliJ and/or Eclipse Experience with Git/Gitlab and/or Stash/Bitbucket Experience with Jira and Confluence for project tracking and documentation Experience with Scikit-learn Agency Compliance standards, policies, and authorities Experience with Agency corporate systems Experience with documentation and reviewing documentation
Desired Skills:
Data Science skills/background Experience with AWS Experience implementing ML systems Experience with Spark Exploratory Data Analysis (EDA) Agentic AI Large Language Models (LLM) Machine Learning Feature Development Other Machine Learning models and techniques
Requirements:
Twenty (20) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Bachelor’s degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor’s degree. US citizenship and an active security clearance required
The Swift Group and Subsidiaries are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class. Pay Range: $49,996.80 - $290,004.00 Pay ranges are a general guideline and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, work experience, education, certifications, Federal Government contract labor categories, and contract wage rates. At The Swift Group and Subsidiaries, you will receive comprehensive benefits including but not limited to: healthcare, wellness, financial, retirement, education, and time off benefits.
More about this job
Skills
- Software development
- Regulatory compliance
- ML
- Oracle Java
- Scala
- Python
- SQL
- Machine learning
- Linux
- Jupyter
- Git
- GitLab
- Atlassian Bitbucket
- Jira
- Atlassian Confluence
- Documentation
- Scikit-learn
- AWS
- Apache Spark
- Data analysis
- EDA
- Computer science