Data Scientist

CACI

1d

About The Position

CACI's Business Analytics division is seeking a Data Scientist support the Business Analytics division. The Data Scientist is responsible for identifying, acquiring, transforming and analyzing NGA data to assess agency performance and inform senior leadership decision making. They will support data integration and modeling; asking and developing business questions; interpreting data made available by agency stakeholders and data owners; and reporting and presenting conclusions to leadership.

Requirements

• U.S. Citizenship and hold an active Top Secret SCI clearance; recent polygraph preferred.
• Bachelor's Degree in Engineering, Computer Science, Mathematics or related quantitative field.
• 5+ years of professional experience in information technology or client services industry.
• Familiarity with data mining, ability to develop and manipulate, and maintain databases.
• Manipulate, synthesize and visualize large datasets from and between knowledge domains, using appropriate programming languages and software, including but not limited to Semantic Query Language (SQL), Apache Spark, ElasticSearch, R, Python, Tableau, Kibana and others as technology evolves.
• Demonstrated experience using software packages used for advanced statistical analysis of operational data and tools for data visualization.
• Demonstrated participation in and/or directing the activities of highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems.
• Ability to develop mathematical algorithms and applications in response to complex requirements.
• Ability to identify systems enhancements and new capabilities, concept demonstrators, capability business cases.
• Ability to provide training on new systems

Nice To Haves

• At least 3-5 years of professional experience using cloud computing services, such as AWS, Azure, or Google Cloud.
• Familiar with developing and using REST APIs.
• Excellent written and verbal communications skills.
• Understanding of DevOps methodology and establishment of a CI/CD tool chain.

Responsibilities

• Provide statistical and mathematical support to analyze and interpret a wide range of data to help NGA understand the value of NGA Programs and support strategic resource decisions made by NGA leadership.
• Interpret and analyze leadership information needs, and design and implement data analysis projects to address those needs by incorporating best practices, appropriate data, and proven techniques from experience or research methods.
• Conduct business analytics tool Architecture and Engineering Analysis to ensure integration of existing and future business analytics tools and compliance with enterprise IT policies, architecture and resources.
• Document, analyze, and (as needed) enhance data conditioning processes that translate raw data inputs into decision-quality data products appropriate to the intended audience.
• Design, develop, test and communicate data analytics products (including data, applications and visualizations) from documented, repeatable methods, based in sound data engineering principles and applicable standards.
• Leverage wide-ranging data sources (e.g., web traffic, customer requests for information, survey data, stated and implied requirements, production databases, human capital data, etc.) to develop and communicate understanding of phenomena and trends to support CAPE studies and assessments.
• Provide insights through repeatable, transparent analysis that will be used to inform NGA strategy and decisions in partnership with teams supporting agency decision making processes, customer and partner interactions, featured content, and future GEOINT products and services.
• Assist in the construction of data sets and data views for use by the CAPE Business Analytics Division to utilize and communicate complex data sets meaningfully and appropriately.
• Assist with implementation of statistical analysis process improvements and incorporation of statistical research into new analytical products and methods.
• Generate and maintain reports, schematics and other documentation sufficient to maintain CAPE Business Analytics Division awareness of data ingest, conditioning and visualization processes as on a regular basis and modify them as required.
• Provide continuous feedback and recommendations to the Business Analytics Division and CAPE.
• Prepare reports, briefings, documents and evaluation of results as required.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees