Data Scientist — Data Integration & Analytics

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

Data Scientist — Data Integration & Analytics

Insight Xcite is recruiting Data Scientists for current and upcoming mission-focused opportunities. Turn complex data into useful analysis and clear answers for decision makers. Assignments may emphasize exploratory analysis, business and mission analytics, or the visual products that help customers understand their data.

Specific tools, seniority, education, certifications, and experience requirements depend on the assignment. We will review those requirements, the work location, and the schedule with candidates during the matching process. The examples below describe different types of work; applicants are not expected to have every skill or technology listed.

Key Responsibilities

• Work with stakeholders to define analytical questions, useful measures, and the decisions the analysis needs to support.
• Gather, prepare, and contextualize structured and unstructured data from relevant sources into enriched, query-ready datasets; investigate gaps, inconsistencies, and limitations.
• Analyze patterns, trends, and relationships using methods appropriate to the question and the available data.
• Develop visualizations, dashboards, prototypes, or other analytical products and refine them with user feedback.
• Explain findings, assumptions, and limitations to technical and nontechnical audiences.
• Review data quality, investigate discrepancies, and document source-to-target mappings, data dictionaries, analytical methods, and product workflows so others can understand and maintain the work.
• Develop and maintain Python-based data workflows and ETL processes.
• Use SQL to explore, transform and validate data, and develop analytical or operational reports.

Required Qualifications

• At least 6 years of relevant professional experience.
• Practical experience using data to answer analytical or business questions.
• Ability to prepare and assess data, select appropriate analytical methods, and interpret results carefully.
• Experience with analytical, querying, programming, or visualization tools relevant to your work.
• Ability to communicate findings clearly and work with stakeholders to develop useful analytical products.

Examples of work

• Business and mission analytics: resource analysis, operational measures, organizational performance, or workforce effectiveness.
• Data visualization: dashboards, mockups, prototypes, and reporting products using tools such as Power BI or comparable platforms.
• Programmatic analysis and data preparation: querying, cleaning, transformation, and repeatable analysis using tools such as SQL, Python, or Power Query.

A particular assignment may require a specific platform, including Power BI. That requirement will be evaluated for the assignment rather than treated as a requirement for every opportunity in this requisition.

Assignment-specific technical focus

Requirements vary by assignment. Current technical areas include Spark/PySpark big-data processing; MySQL and PostgreSQL; XML, JSON and regular expressions; notebooks and Visual Studio; CloudWatch and Kibana reporting; and converting disparate sources into indexed, structured datasets. Candidates considered for assignments using this stack must demonstrate the required hands-on experience. You do not need experience with every listed technology to be considered for our broader Data Scientist opportunities.

Preferred experience for some assignments may include Databricks, Amazon EMR, Spark batch/streaming and performance tuning, Pandas, AWS Lambda/SNS/SQS/EC2/DynamoDB/RDS and ELK. These are assignment-specific examples, not universal requirements.

Clearance Requirement

Due to the nature of our work, Insight Xcite does not sponsor or process security clearances at this time.

Applicants must currently possess an active TS/SCI with Full-Scope Polygraph (FSP) to be considered for employment.

Please do not apply if you do not currently hold this level of clearance.

Work Location Requirement

All Insight Xcite positions are onsite. We do not offer remote or hybrid opportunities.

Applicants must be willing and able to work in person at the designated customer location.

Compensation

Compensation within the advertised range is based on relevant experience, demonstrated technical skills, and the requirements of the specific assignment. The upper end is reserved for candidates who meet the most advanced requirements.

Benefits That Support You

• Company-paid medical, dental and vision through Blue Cross Blue Shield, with optional plan upgrades.
• 7% employer contribution to your 401(k), vested immediately, with no match required, starting with your first paycheck.
• Flexible PTO from day one without accrual.
• Annual Flex Bonus opportunities up to 5%.
• Up to $5,250 education reimbursement for approved courses after six months of full-time employment and successful completion.
• Company-paid life and short- and long-term disability insurance.
• Paid parental leave.
• Referral rewards of $500 per month for qualifying referrals.
• Annual compensation reviews.
• Starting January 2027: pet insurance with a 100% company-paid premium for one pet.

Candidate Authenticity and Use of AI

AI tools may be used to help format or draft application materials; however, all submitted information must accurately represent the candidate’s own experience, qualifications, and work history. Candidates should be prepared to discuss and verify the information provided. Do not include classified or sensitive customer information.

About Insight Xcite

Insight Xcite is a mission-focused consulting firm supporting critical government programs through data-driven engineering, technology, cybersecurity, analytics, and operational expertise. We partner with customers across the national security community to deliver innovative solutions in highly secure, fast-paced environments.

Our teams are composed of experienced professionals who thrive on collaboration, accountability, and supporting mission success. We value technical excellence, integrity, and employees who are committed to solving complex challenges and making an impact.

The pay range for this role is:

175,000 - 235,000 USD per year (Government Client Site – Chantilly VA)