Data Scientist

CACI's SAFFIRE team is at the forefront of developing and operating state-of-the-art of Geospatial Intelligence analysis software. The SAFFIRE team builds and maintains an exceptionally powerful platform enabling our users to address challenging real-world problems by converting disparate data into actionable information. The team is deeply passionate about its mission and takes tremendous pride in our work. We work directly with operational users to design, develop, and maintain capabilities that empower analysts to create actionable intelligence from the massive volumes of Geospatial Intelligence data to give our intel and combat organizations the decision advantage over our near-peer adversaries.

What You’ll Get to Do:

As a Data Scientist supporting the SAFFIRE program, you will be working closely with software developers and teams to establish a consolidated data analytics environment utilizing COTS and FOSS software. Your role will be to collaborate on designing, developing, and implementing custom data analytic solutions and apply data visualization and statistical programming tools to enterprise data. You will be a key member of the team, where the rubber meets the road, doing work that matters for some of the U.S. Government’s most critical missions, and utilizing the latest technologies in Cloud Computing, AI/ML, and DevSecOps.

At the interview, we’d like to tell you about:

• The SAFFIRE team and our mission
• The SAFFIRE platform, the technologies we currently leverage, and our approach to software development
• The contract, program structure, and our customers
• How incredibly awesome our benefits are

You’ll Bring These Qualifications:

• 5+ years of experience working in a computer science, data science, software engineering or related field
• Currently hold an active Top Secret or Top Secret SCI clearance
• Excellent programming skills in Python
• Strong understanding of machine learning algorithms and ability to read and understand cutting edge ML research papers
• Experience implementing, training, and evaluating neural network/deep learning models
• Strong analytical and problem-solving skills
• Effective communication skills

These Qualifications Would Be Nice to Have:

• Experience working with Docker and/or Kubernetes
• Experience working with Kubeflow
• Knowledge of and experience with Geospatial data and technologies
• Experience with cloud services (AWS, Azure, etc.)
• Security+ Certification
• Experience working with databases and SQL
• Experience working with Databricks

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:

$82,100 - 172,400 USD