Why This Role Stands Out
This role offers exciting opportunities to leverage your advanced analytical skills and predictive modeling expertise to derive critical mission insights from complex data, fostering significant career growth within a reputable organization. If you possess a strong background in data science and a keen ability to translate operational questions into data-driven solutions, you'll thrive in this collaborative, hybrid environment where your contributions directly impact strategic outcomes. We encourage you to apply and explore this impactful opportunity!
Quick Overview
Job Description
About the role The Data Scientist applies statistical learning, predictive modeling, and analytic tradecraft to transform diverse data including economic, industrial, logistics, and geospatial into mission insights. This role involves exploratory data analysis, model development, and advanced algorithmic approaches to identify hidden patterns and generate predictive intelligence. Data Scientists in this role collaborate directly with analysts and mission stakeholders to translate operational questions into actionable, data-driven answers. Responsibilities
- Apply statistical modeling, machine learning, and AI techniques.
- Develop predictive models for economic and infrastructure datasets.
- Perform feature engineering and algorithm optimization.
- Collaborate with analysts to translate mission questions into data solutions.
- Support development of automation for anomaly detection. Required qualifications
- Active TS/SCI clearance.
- Bachelor's degree in Data Science, Mathematics, Statistics, Computer Science, or related field OR 9+ years of relevant experience in lieu of a degree.
- 5-7 years of applied analytic experience with large datasets.
- Strong proficiency in Python, R, or Julia.
- Solid background in applied statistics or machine learning. Preferred qualifications
- Master's degree in related field.
- Experience with IC/DoD data repositories.
- Familiarity with graph analytics or NLP.
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