Data Scientist, Level 2
About the role
What You Will Do At Independent Software, as a Data Scientist Level 2, you will apply Artificial Intelligence, Machine Learning, and Natural Language Processing techniques to analyze and characterize large language datasets. You will develop analytical tools and techniques to support data mining, analysis, and mission-focused research. This role combines hands-on AI/ML development with the analysis of large and complex language datasets.
Responsibilities
- Apply AI and Machine Learning techniques to large language datasets
- Use Natural Language Processing (NLP) techniques to analyze and triage language data
- Develop and support AI/ML tools for data analysis
- Perform model training and development
- Develop analytical tools and techniques to support mission requirements
- Perform data mining to identify patterns, relationships, and relevant information
- Analyze and characterize large and complex datasets
- Perform qualitative characterization of mission data
- Evaluate analytical methods and model performance
- Document methodologies, analytical processes, and findings
- Collaborate with technical and mission teams to support operational objectives
Skills
- Experience using and/or developing AI and Machine Learning tools
- Experience with Machine Learning model training and development
- Experience with Natural Language Processing (NLP)
- Experience working with large language datasets
- Experience developing tools or techniques for data analysis
- Experience with data mining and analytical techniques
- Ability to perform qualitative data characterization
- Strong analytical, critical-thinking, and problem-solving skills
- Ability to work independently and collaboratively within a technical environment
Qualifications
Candidates must meet one of the following: Bachelor's degree with three (3) years of relevant experience; OR Associate's degree with five (5) years of relevant experience.
Degree should be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Computer Science, or a related technical discipline.
Degrees in Engineering, Computer Information Systems, Physical Sciences, or other scientific disciplines with