Cyberstrike: People Powering Government · 1 day ago
Data Scientist
Cyberstrike: People Powering Government is seeking exceptional Data Scientists to tackle complex challenges in national defense and intelligence. As a Data Scientist, you will develop cutting-edge solutions, build advanced algorithms, and transform data into actionable insights that impact national security.
Responsibilities
Build Advanced Solutions: Develop and implement machine learning, statistical, and graph-based algorithms that analyze large, complex datasets
Drive Innovation: Prototype and rigorously evaluate multiple algorithms to deliver optimal performance
Create From Scratch: Design experiments and models to generate data when traditional training sets aren't available
Make Impact Visible: Transform complex analyses into clear visualizations and actionable insights for high-level decision-makers
Automate & Scale: Collaborate with subject matter experts to move analytics from manual processes into production frameworks
Stay Ahead: Continuously adopt emerging tools and techniques in ML, statistical modeling, and data analytics
Qualification
Required
Active TS/SCI
BA/BS in Math, Statistics, Engineering, Computer Science, or related field
Strong proficiency in Python and R
Proven experience solving problems with large datasets
Expertise in machine learning, data wrangling, and advanced statistical modeling
AWS or cloud platform experience
Ability to explain complex concepts to non-technical audiences
Preferred
4+ years experience (Bachelor's) | 2+ years (Master's) | 1+ year (PhD)
Familiarity with commercial and open-source data science tools
Experience with relational databases (Oracle, SQL) and ETL tools
Benefits
Comprehensive health, dental, and vision benefits
401(k) with employer contribution + Employee Stock Option Plan (ESOP)
Paid parental leave
Extremely flexible PTO
Reasonable hours and low travel requirements
Clear paths for professional growth and advancement
People-focused culture that genuinely prioritizes work-life balance
Annual company stock shares based on value and profits