As a Data Scientist you will employ highly creative solutions to address data analytics challenges to our mission, to collect large volumes of data from varying sources, clean and interpret data, create solutions to overcome challenges, and communicate with interested entities.

To succeed in this position; you need to be curious, creative, and tech-savvy. You need to stay up to date with data programming software and apps, have an outstanding understanding of statistics and mathematics and be proficient in writing algorithms. You must be persistent and have excellent analytical and problem-solving skills.

What You'll Get to Do:

• Devise strategies for extracting meaning and value from large datasets.
• Make/communicate principled conclusions from data using mathematics, statistics, computer science, and application specific knowledge.
• Make informed recommendations regarding competing technical solutions through awareness of the constantly shifting customer collections, processing, storage and analytic capabilities and limitations.

You’ll Bring These Qualifications:

• Active TS/SCI
• Highly experienced with the Python programming language and its corresponding data science stack:
• Pytorch, SciPy, Pandas, Scikit-Learn, Numpy
• Highly experienced with SQL and database creation, normalization, and documentation:
• Data description language, first, second and 3 normal phase, entity relationship diagrams
• Understanding of graph theory and routing solution algorithms, i.e., A*, Dijkstra
• Experience developing on a DoD secure network
• Understanding of agent-based models and implementation using open-source libraries
• Knowledge of spatial datasets, sources and mapping within the DoD IT infrastructure:
• Digital Terrain Elevation Data levels
• Vector and raster data sources and their metadata
• Familiar with the NITF standard (MILSTD-2500c)
• Familiar with OGC standards i.e., WFS
• Experienced with open-source spatial data analysis python libraries:
• Geopandas, leaflet, scikit-image

These Qualifications Would be Nice to Have:

• Experience with doctrinally derived disposition of foreign military ground forces
• Experience with munition effects capabilities in term of rolled homogeneous armor penetration equivalencies
• Experience with US and foreign military ground order of battle nomenclature and capabilities
• Amazon Web Service Cloud Practitioner certification
• CompTIA Security+ certification

What We Can Offer You:

• We’ve been named a Best Place to Work by the Washington Post.
• Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives.
• We offer competitive benefits and learning and development opportunities.
• We are mission-oriented and ever vigilant in aligning our solutions with the nation’s highest priorities.
• For over 60 years, the principles of CACI’s unique, character-based culture have been the driving force behind our success.

Company Overview:

CACI is an Equal Opportunity/Affirmative Action Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.

Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here

The proposed salary range for this position is: