Mid Data Scientist - AI Dashboards & Databricks

Booz Allen Hamilton; North Dakota; On-site; USD 78,000 - 176,000; Full time

Benefits offered by this job

Health benefits

Life insurance

Retirement benefits

Tuition assistance

Paid leave

Job summary

Booz Allen Hamilton is seeking a mid-level Data Scientist to craft data products and enterprise dashboards. You will collaborate with leaders across teams, turning complex data into actionable insights while shaping reporting platforms.

The role offers exposure to AI-driven analytics and Databricks-based automation within a high-visibility environment. You will own dashboards, build data assets, and partner with data scientists and engineers to drive measurable impact on contracts, staffing, and

Qualifications

• Bachelor's degree in a relevant field.
• Experience building dashboards in Power BI or Tableau.
• Ability to turn disparate data sources into meaningful insights.
• Ability to communicate technical concepts to non-technical stakeholders.

Responsibilities

• Own existing dashboards and data models and update, troubleshoot, and enhance them as needs change.
• Use Databricks and related tools to refine pipelines, automate workflows, and build notebooks that feed enterprise data products.
• Partner with leaders to document, prioritize, and deliver company-wide reporting needs.
• Collaborate with data scientists and engineers to turn disparate sources into actionable insights.

Skills

Data modeling

BI tooling

Communication with stakeholders

Independent work

Education

Bachelor's degree

Tools

Databricks

Alteryx

Power BI

Tableau

Job description

Booz Allen Hamilton is seeking a mid-level Data Scientist to craft data products and enterprise dashboards. You will collaborate with leaders across teams, turning complex data into actionable insights while shaping reporting platforms.

The role offers exposure to AI-driven analytics and Databricks-based automation within a high-visibility environment. You will own dashboards, build data assets, and partner with data scientists and engineers to drive measurable impact on contracts, staffing, and