Data Scientist: Analytics & Data Integration (Onsite)

Insight Xcite; Chantilly (VA); On-site; USD 175,000 - 235,000; Full time

Benefits offered by this job

Medical, Dental, Vision insurance

401(k) with 7% employer contribution

Flexible PTO

Annual Flex Bonus up to 5%

Education reimbursement up to 5250

Life and disability insurance

Parental leave

Referral rewards

Pet insurance from Jan 2027

Job summary

Insight Xcite in Chantilly, VA is seeking a Data Scientist for data integration and analytics. The role focuses on turning complex data into actionable insights for decision makers.

Projects may emphasize exploratory analysis, business and mission analytics, or visual products to help customers understand their data. Responsibilities include designing analytical questions, preparing data, building visuals, and communicating findings to stakeholders.

Qualifications

• 6+ years of relevant professional experience.
• Experience turning data into analytical results for decision makers.
• Ability to communicate findings clearly to stakeholders.

Responsibilities

• Define analytical questions, measures, and decisions the analysis supports.
• Prepare and contextualize structured/unstructured data for analysis.
• Analyze patterns and trends to answer questions with available data.
• Develop visualizations, dashboards, or reports and refine with user feedback.
• Explain findings, assumptions, and limitations to technical/nontechnical audiences.
• Document data lineage, methods, and workflows for maintainability.
• Develop and maintain Python-based data workflows and ETL processes.
• Use SQL to explore, transform, and validate data, and generate reports.

Skills

Data analysis

SQL

Python

Data visualization

Communication

Tools

Power BI

Spark

MySQL

PostgreSQL

Python notebooks

Visual Studio

Kibana

AWS Lambda

Job description

Insight Xcite in Chantilly, VA is seeking a Data Scientist for data integration and analytics. The role focuses on turning complex data into actionable insights for decision makers.

Projects may emphasize exploratory analysis, business and mission analytics, or visual products to help customers understand their data. Responsibilities include designing analytical questions, preparing data, building visuals, and communicating findings to stakeholders.