Leidos Digital Modernization team is looking for a Junior Data Scientist to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to data optimization.
Requirements
- Experience with Python is required.
- Strong SQL skills and experience with relational databases and APIs for data extraction are required.
- Experience with supervised and unsupervised learning and natural language processing (NLP) is required.
- Familiarity with NLP libraries and tools (e.g., spaCy, Hugging Face, NLTK, or TensorFlow).
- Experience with frequentist statistics, probability, and predictive modeling, along with knowledge of computer science concepts, data architecture, and statistical methods
- Leverage technologies, including AWS and Git.
Responsibilities
- Conduct data analysis to support the department’s planning and assessment, including Measures of Effectiveness (MOE), Measures of Performance (MOP), and campaign impact evaluations.
- Translate complex datasets into clear visuals, dashboards, and narrative reports for planners, leadership, and assessment teams.
- Work on small projects analyzing a variety of big data covering cloud, cybersecurity, and network.
- Identify trends, anomalies, and engagement patterns across cyber and networks.
- Support multiple simultaneous projects and take open-ended or high-level guidance, independently and collaboratively make discoveries that are mission-relevant, and package and deliver the findings to a non-technical audience.
- Build statistical and machine learning models, conduct natural language processing (NLP), and develop automated solutions for complex business challenges.
- Construct and execute complex database search queries across multiple databases using SQL and API interfaces.
Other
- Must have an active DoD Secret or Top-Secret clearance.
- BS in Data Science or Data Analytics and 2+ years of relevant technical experience.
