Data Scientist

CACI•Washington, DC

3d•$82,100 - $172,400

About The Position

CACI is hiring a mid-level Data Scientist to support mission-critical work in the Defense Intelligence Analysis Program at Bolling AFB. The role applies mathematical and statistical methods to collect, organize, interpret, and summarize numerical data, producing usable information to support Defense Intelligence All Source Analysts covering Political Military, Infrastructure, Military Capability (Cyber and C4I), Advanced All-Source Methods, Counter Intelligence, and Transnational topics. The Data Scientist plans and performs data collection and processing, checks information for inaccuracies, and designs, tests, installs, maintains, operates, and develops solutions using programming and scripting languages such as Python and SQL. The role analyzes structured and unstructured data, explores and operationalizes data sources, and communicates product and business insights. It also produces analytical results through graphs, charts, tables, and metrics, prepares written and visual products, and maintains the discoverability of analytics reporting through webpages and dashboards. The position develops and applies quantitative, qualitative, and business analysis skills; keeps current with methods and tools; and applies IT knowledge to customer data needs. The employee works independently with some guidance, develops or contributes to solutions for problems of moderate scope and complexity, and may review or guide the work of more junior employees. Active/current TS/SCI clearance and the ability to obtain and maintain a polygraph are required.

Requirements

Bachelor’s degree and at least 5 years of directly related experience, or a master’s degree and at least 2 years of directly related experience; experience may substitute for a degree for certain roles, and certifications may substitute for a degree for certain technical roles.
Experience using programming languages, including Python and SQL, to manipulate and analyze data.
Experience with machine learning, data cleansing, and statistical analysis.
Experience analyzing structured and unstructured data sources.
Knowledge of machine learning, artificial intelligence, or natural language processing.
Ability to create reports and present key insights based on analysis.
Knowledge of NLP and experience implementing standard NLP methodologies such as TF-IDF or FastText.
Experience programming in an AWS cloud environment.
Active/current TS/SCI clearance and ability to obtain and maintain a polygraph.

Nice To Haves

Amazon Web Services (AWS) certification.
Experience with Infrastructure as Code tools such as Terraform or IT configuration management tools such as Ansible.
Experience with a continuous-delivery machine-learning project, such as a web application in production or a webserver.

Responsibilities

Apply mathematical and statistical methods to collect, organize, interpret, and summarize numerical data in support of Defense Intelligence All Source Analysts.
Plan and perform data collection and processing, organizing information and checking for inaccuracies.
Design, test, install, maintain, operate, and develop solutions using programming and scripting languages, including Python and SQL.
Produce analysis results in graphs, charts, tables, and metrics using tools such as Tableau.
Prepare written and visual products to describe and document findings and research.
Ensure analytics reporting is discoverable through corresponding webpages and dashboards, and create dashboards as needed.
Develop and refine quantitative, qualitative, and business analysis skills, and maintain awareness of new methods and tools.
Apply IT knowledge to deliver solutions that meet customer data needs.
Explore and operationalize data sources using scientific processes and technologies to uncover and communicate product and business insights.
Develop or contribute to solutions to problems of moderate scope and complexity.
Work independently with some guidance and may review or guide activities of more junior employees.