Data Scientist

We are seeking a highly analytical and versatile Data Scientist with expertise in business analytics, statistics, and data visualization to support complex business and mission-critical projects. The ideal candidate will possess a blend of technical skills, creativity, and communication abilities to convert data into actionable insights and drive informed decision-making across various stakeholders.

Key Responsibilities
Apply qualitative and quantitative analysis methods to solve complex business analytics problems.

Create and present data visualization mockups and interactive dashboards using tools like Tableau and Power BI.

Work with structured and unstructured data from diverse sources and formats; transform and validate for analytical purposes.

Interact with stakeholders to translate business needs into technical project requirements and system specifications.

Use tools like Tableau Prep Builder, Python, Excel, and SQL to manipulate, clean, and combine datasets.

Document workflows, develop prototypes, and effectively communicate technical results to both technical and non-technical audiences.

Support critical thinking and analytical judgments through statistical modeling, data pattern recognition, and trend analysis.

Operate as a self-starter and problem solver, independently tackling ambiguity and driving results with minimal supervision.

Coordinate with customers to resolve data discrepancies and answer requirements-related questions.

Interpret data models and collaborate across teams to ensure data integrity and optimal visualization solutions.

Required Qualifications
Demonstrated experience in at least two or more of the following:

Business analytics

Statistics

Data verification and validation

Data visualization

Strong experience with Tableau, Power BI, or similar data visualization tools.

Proficiency in Python for data transformation and analysis.

Experience using data prep tools like Tableau Prep Builder.

Working knowledge of Excel and SQL for data manipulation and reporting.

Ability to decompose complex problems into structured solutions with actionable plans.

Experience presenting data insights and dashboards to technical and non-technical audiences.

Strong interpersonal and communication skills; able to work effectively across teams.

Proven ability to document work processes and visualize outcomes clearly.

Desired Qualifications
Experience with data related to technical missions, intelligence taskings, or collection/processing workflows.

Prior work with Sponsor data systems, applications, or database structures.

Familiarity with Sponsor data handling procedures and clearance environments.

Hands-on experience with Jupyter Notebooks, Visio, SharePoint, Confluence, or other visualization/documentation tools.

Experience working with APIs, including integration and data extraction.

Knowledge of version control systems such as GitHub.

Proficiency in R programming is a plus.

Bachelor’s degree in Business Analytics, Statistics, Data Analytics, Computer Science, Information Systems, or a related field

OR 4+ years of relevant data analysis experience in the Intelligence Community (IC) or military.

Other Required Skills & Capabilities
Ability to synthesize disparate data sources and present findings clearly.

Experience applying mathematical and statistical models to answer business or mission questions.

Demonstrated critical thinking, pattern recognition, and analytical judgment.

Ability to manage multiple tasks independently and meet deadlines in a fast-paced environment.

Clear documentation and reporting of analytical workflows and outcomes.

Comfortable working both independently and as part of a team.