Why This Role Stands Out
This hybrid Data Scientist role offers a unique opportunity to leverage your advanced analytical and machine learning skills in a mission-critical environment, fostering significant career growth and impact. You'll thrive here if you possess strong Python, R, and SQL expertise, a passion for threat detection, and are eager to contribute to a respected organization with a collaborative team culture. Apply now to explore this exciting path and make a tangible difference.
Quick Overview
Job Description
Primary Responsibilities: Perform exploratory and diagnostic analyses to reveal trends and anomalies
Develop and test ML models for threat detection and risk scoring
Create data visualizations and analytical reports
Support data preparation, transformation, and quality assurance
Collaborate with data engineers on model operationalization
Document analytical methods and findings
Required Qualifications: Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhD
Proficiency in Python, R, SQL
Experience with ML libraries (scikit-learn, pandas, numpy)
Data visualization skills (Matplotlib, Seaborn, Plotly)
Understanding of statistical methods and data mining
Strong analytical and problem-solving abilities
U.S Citizenship required
DoD TS clearance with ability to obtain/maintain SCI Preferred Qualifications: Data science certifications
Master's degree preferred in Data Science, Statistics, or related field (Bachelor's degree required)
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