
Software Engineer / Data Scientist
- Colorado Springs, CO
- $100,900-176,600 per year
- Permanent
- Full-time
- Bachelor’s degree in Data Science, Machine Learning, Computer Science, Mathematics or a related technical field with at least 5 years technical experience. Relevant experience may be accepted in place of a degree
- Experience with the following Data Science technologies
- Various machine learning libraries (i.e. Apache Spark, Scikit-learn, XGBoost, etc.)
- Data manipulation and pipeline libraries (i.e. Pandas, Polars, matplotlib, Plotly, numpy, scipy, etc.)
- Data science environments (e.g. Jupyter Notebook, Data Bricks, or Amazon Sage Maker)
- Experience implementing the data science process, developing experiments, reporting and explaining results
- Experience with Python and/or Java programming languages
- Experience designing, developing, documenting, testing, and debugging enterprise applications
- Familiar with Linux/Unix operating systems
- Great interpersonal and communications skills, while establishing and maintaining effective work relationships with team members
- Must be comfortable working in a fast-paced, flexible environment, and take the initiative to learn new tools and concepts quickly.
- Experience with common CM tools and best practices
- Excellent communication skills, in both spoken and written English
- Active TS security clearance, with SCI eligibility preferred
- Must be a US Citizen due to DoD contract
- Familiarity with the following technologies:
- Deep Learning libraries (i.e. TensorFlow, Keras, PyTorch, etc.)
- Python web technologies (i.e. Dash, Flask, Django, etc.)
- Natural Language Processing (NLP)
- SQL commands and queries Scripting languages (e.g. Groovy, Python, PowerShell, BASH)
- Spring Boot
- DevSecOps concepts and using CI/CD pipeline technologies such as Jenkins, GitLab, Docker
- AWS/GovCloud technologies
- Experience working in an Agile Software Development environment using the Scrum methodology
- Security+ Certification
- AWS Cloud Practitioner Certification