Data Scientist

CACI International•Frederick, MD

3d•$82,100 - $172,400•Onsite

About The Position

CACI is hiring a mid-level Data Scientist to support the Defense Intelligence Analysis Program at Bolling AFB. The role applies mathematics and statistical theory to collect, organize, interpret, and summarize numerical data, producing useful information for Defense Intelligence All Source Analysts working across political-military analysis, infrastructure, military capability (cyber and C4I), advanced all-source methods, counterintelligence, and transnational topics. The Data Scientist plans and performs data collection and processing, develops and operates data solutions using programming and scripting languages, and communicates analytical findings through written products, visualizations, reports, and dashboards. The role also explores and operationalizes data sources to uncover and communicate product and business insights, maintains awareness of new methods and tools, and applies IT knowledge to address customer data needs. The position works independently with some guidance and may review or guide the work of more junior employees.

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 in certain roles, and certifications may substitute for a degree in 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 app in production or a webserver.

Responsibilities

Apply mathematics and mathematical or statistical theory to collect, organize, interpret, and summarize numerical data.
Plan and perform data collection and processing, organizing information and checking it for inaccuracies.
Design, test, install, maintain, operate, and develop solutions using programming and scripting languages, including Python and SQL.
Produce analytical 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 business analytics reporting is discoverable through associated webpages and dashboards, and create dashboards as needed.
Develop and refine quantitative, qualitative, and business analysis skills; 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, as appropriate, review or guide activities of more junior employees.