Data Scientist

CACI's Business Analytics division relies on rigorous data work to inform leadership decisions. This on-site Data Scientist role in Springfield, VA centers on identifying, acquiring, transforming, and analyzing agency data to assess performance and provide senior leaders with actionable insights. The position involves data integration, modeling, operational research, and clear communication of findings to decision-makers in a fast-paced, matrixed environment.

Responsibilities

• Identify, acquire, clean, transform, and analyze agency data to support performance assessment and leadership decision-making.
• Integrate data from multiple sources and construct data models to support analytical and operational needs.
• Conduct operational research, statistical analysis, and program evaluations to understand trends and drive recommendations.
• Interpret data provided by stakeholders and data owners to develop meaningful insights.
• Develop, deploy, and maintain data mining solutions and relational data models.
• Use statistical analysis and data visualization tools to analyze operational data and communicate results.
• Create rigorous mathematical algorithms and data-driven applications to solve complex business problems.
• Identify enhancements, new capabilities, proofs of concept, and business cases to improve systems and analytics.
• Provide training and support as new data systems, tools, and capabilities transition to operational use.
• Report and present analytical findings, insights, and recommendations to senior leadership in clear, actionable formats.
• Support and guide technical and analytical teams working on complex data, intelligence, or analytics solutions.
• Work independently in a fast-paced, matrixed environment while managing multiple analytical tasks.

Requirements

• Bachelor of Science degree or higher in statistics, mathematics, computer science, remote sensing, earth science, physical science, or a related technical field, or equivalent education and experience.
• Minimum 7 years of experience.
• At least 2 years of experience developing in DBMS environments (Oracle, PostgreSQL, Microsoft SQL Server).
• At least 2 years of experience with data ETL and manipulation activities (Pandas, NumPy, etc.).
• At least 1 year of experience deploying data mining capabilities in addition to relational data modeling.
• At least 1 year of experience using software packages for advanced statistical analysis and data visualization (Tableau, D3, ggplot, matplotlib).
• Demonstrated participation in and/or leadership of highly skilled technical and analytical teams solving complex analytics problems.
• Ability to develop and deploy rigorous mathematical algorithms and applications for complex business use cases.
• Ability to identify system enhancements, new capabilities, concept demonstrators, and capability business cases.
• Ability to provide training as new systems move into operational use.
• Ability to work independently in a fast-paced, matrix-oriented environment.

Technologies

• Pandas
• NumPy
• Tableau
• D3
• ggplot
• matplotlib
• SQL
• Apache Spark
• Elasticsearch
• R
• Python
• Kibana
• GitLab
• GitHub
• Oracle
• PostgreSQL
• Microsoft SQL Server

Benefits

• Healthcare
• Wellness programs
• Financial benefits
• Retirement benefits
• Family support
• Continuing education
• Time off benefits

What you can expect

• A culture of integrity
• An environment of trust
• A focus on continuous growth

Pay range

The salary range for this position is USD 86,600 to 181,800 per year.