Senior Data Scientist

Sr Data Scientist

Blu Omega is seeking a Data Scientist to support a federal law enforcement program focused on data analytics and investigative support. This hands-on role will use SQL, Python, and Power BI to analyze complex datasets, develop reports and visualizations, support data pipelines, and deliver actionable insights for mission-critical initiatives. The ideal candidate is a strong analytical problem solver who can work independently, maintain a high level of data accuracy, and collaborate effectively with law enforcement stakeholders.

Key Details
Location: On-Site (Pentagon City)
Clearance: Ability to obtain and maintain a Public Trust suitability determination

Responsibilities

• Perform complex data analysis using SQL and Python across large datasets from multiple sources.
• Develop and maintain Power BI dashboards, reports, and visualizations to support investigative and operational decision-making.
• Analyze data to identify trends, patterns, anomalies, relationships, and intelligence gaps.
• Work with and enhance existing data pipelines, analytical code, and templates to support recurring and case-specific requests.
• Extract, clean, transform, and validate structured and semi-structured data to ensure accuracy and reliability.
• Translate stakeholder and investigative requirements into data-driven analyses, reports, and actionable insights.
• Develop and evaluate statistical, predictive, and machine learning models for complex analytical use cases.
• Collaborate with federal and law enforcement stakeholders to understand requirements, communicate findings, and refine deliverables.

Required Qualifications

• Bachelor's degree in Data Science, Computer Science, Statistics, Analytics, or a related field preferred.
• Hands-on experience with SQL and Python to query, manipulate, validate, and analyze large datasets.
• Experience developing and maintaining Power BI dashboards, reports, and data visualizations.
• Experience working with data pipelines, analytical code, and structured or semi-structured data.
• Strong understanding of data quality, validation, statistical analysis, and analytical techniques.
• Ability to identify trends, patterns, anomalies, and relationships and translate findings into actionable insights.
• Strong analytical, problem-solving, and communication skills with the ability to work independently and collaborate with mission-focused stakeholders.

Preferred Qualifications

• Experience with AI and machine learning, including supervised and unsupervised learning and/or NLP involving unstructured data.
• Experience manipulating and analyzing unstructured data from multiple platforms and sources.
• Experience with additional data visualization and analytics tools such as Elastic X-Pack, Tableau, or Qlik.
• Experience designing or validating neural networks, decision trees, predictive models, or other advanced statistical models.
• Knowledge of cloud storage, Data Lakes, ETL processes, and serverless computing environments used for large-scale data processing.
• Experience working with government, law enforcement, or other sensitive data environments and associated compliance requirements.

Compensation
Salary Range: $100,000 - $165,000

Company Overview
Blu Omega is a Woman-Owned Small Business (WOSB) delivering technology and cybersecurity solutions to federal agencies and enterprise clients nationwide. Headquartered in Ashburn, VA, we support mission-critical programs across civilian and defense sectors including health, national security, and regulatory environments. We partner with government agencies and large integrators to provide expertise in cybersecurity operations, cloud and infrastructure modernization, data and analytics, and enterprise IT support. Our teams are experienced operating within federal contracting environments, supporting task orders, recompetes, and programs requiring cleared personnel and compliant delivery.

Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.

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