Data Scientist (all levels)

GeoYeti is a division of Bcore, a full-spectrum intelligence company built on trust and teamwork whose core mission is to innovate within the national security space. GeoYeti focuses on advanced analytics, data science, development of the applications that support such work.  We seek Data Scientists to support clients in various locations.  We support a broad range of IC and DoD clients, though a common theme across our portfolio is that our team members, regardless of their role, interact with the end users around the globe.

GeoYeti offers competitive pay, a sign-on or relo bonus, and amazing benefits, to include up to 6 percent company contribution into your 401k; 100 percent company paid premiums for medical (to include 100 percent of your medical deductible), dental, vision, life, and short- and long-term disabilities; tuition reimbursement; gym stipend; commuter stipend ($10/day after tax); automatic enrollment in the GeoYeti 360 Bonus Program; and many others.

• Identify data sources and automate collection processes
• Perform preprocessing of structured and unstructured data
• Analyze large, complex data sets to identify trends and patterns
• Build predictive models and machine learning algorithms
• Present information using data visualization techniques

Required Qualifications:   

• Active TS/SCI clearance to work in the Intelligence Community
• Bachelor's Degree in Computer Programming, Science, Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience
• 2+ years of experience as a Data Scientist, Data Engineer, ML Engineer, or Data Analysts
• Demonstrated proficiency with Python programming
• Demonstrated problem solving and troubleshooting skills
• Strong communication and interpersonal skills
• Time management skills and the drive to work unsupervised and as part of a small team

Desired Qualifications:  

• Active TS/SCI clearance to work in the Intelligence Community with CI or Full Scope poly
• Prior experience working with or within the Intelligence Community or a military intelligence unit
• Experience with ML models including inference, performance testing, and hyperparameter tuning
• Experience with distributed computing, multi-processing, and GPU processing
• Experience managing and manipulating geospatial data including GUI tools (ArcGIS, QGIS) and command line (GDAL, relevant python packages)
• Familiarity with creating efficient cloud workflows
   

GeoYeti is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.