Data Scientist

Lawelawe Technology Services is seeking an expert Data Scientist to support the National Science Foundation Office of Inspector General with advanced analytics and modeling.

Responsibilities

• Perform data analytics, statistical and non-statistical modeling, data mining, and data-management activities for assigned projects and initiatives.
• Collect and store source data in its original form, then process, clean, normalize, validate, and integrate structured and unstructured data from multiple sources.
• Design, develop, and maintain analytical models, scripts, algorithms, and automated workflows.
• Design experiments, test hypotheses, and develop scalable analytical models using data-science and artificial-intelligence methods, including machine learning.
• Develop mathematical, statistical, econometric, and other analytical solutions supporting audit, investigative, research, and program evaluation activities.
• Create interactive dashboards and reporting tools using Power BI, Tableau, or similar platforms.
• Conduct risk modeling, anomaly detection, trend analysis, and predictive analytics to support investigations, audits, and inspections.
• Collaborate with investigators, auditors, analysts, and subject-matter experts to define analytical requirements and deliver data-driven solutions.
• Use Python, SQL, and other programming languages to manipulate, analyze, transform datasets, and automate analytical processes.
• Complete ad hoc audit and investigative data-analysis requests and communicate findings in written and verbal formats.
• Produce comprehensive reports covering data adequacy and quality, methodologies, assumptions, results, findings, and recommendations.
• Document data sources, methodologies, model assumptions, analytical workflows, code, data pipelines, and models for transparency, reproducibility, and continuity.
• Provide training to staff on work products, including user guides, manuals, technical documentation, and knowledge-transfer materials.
• Monitor, maintain, and update analytical models, scripts, and data workflows as technologies and mission requirements evolve.
• Ensure compliance with applicable federal security, privacy, accessibility, and data-governance requirements.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Information Systems, or a related field.
• Minimum of 4 years of professional experience in data science, analytics, statistical modeling, or a related technical discipline.
• Strong proficiency in Python and SQL.
• Extensive knowledge of data collection, extraction, cleaning, transformation, normalization, validation, and integration across multiple data sources.
• Extensive knowledge of statistical analysis and modeling, including predictive modeling, risk modeling, machine learning, and anomaly-detection techniques.
• Proven experience deploying predictive or prescriptive models to drive operational improvements or inform strategic decision-making.
• Experience working with both structured and unstructured datasets.
• Experience developing dashboards and visualizations using Power BI, Tableau, or similar tools.
• Ability to design interactive dashboards that support metric drill-down without compromising performance.
• Familiarity with federal data governance, security, and privacy requirements.
• Strong written and verbal communication skills, including presenting technical findings to non-technical audiences.
• Ability to work independently and manage multiple priorities in a federal support environment.
• Must be a U.S. citizen and successfully complete the required background investigation and onboarding process.

Technologies

• Python
• SQL
• Power BI
• Tableau

Work Location

• Alexandria, VA (hybrid)
• Supports the National Science Foundation Office of Inspector General (NSF OIG) located in the National Science Foundation
• Work may be performed onsite, hybrid, or as otherwise directed

Compensation

• USD 115,000 - 135,000 per year
• Salary dependent on experience (DOE) and determined based on qualifications, relevant experience, and applicable requirements

Benefits

• Competitive compensation package
• Comprehensive medical, dental, and vision coverage
• Company-sponsored retirement plans with matching contributions
• Professional development and continued learning opportunities
• Additional perks and discounts available to employees

How You Will Make an Impact

• Deliver advanced data analytics and modeling solutions to strengthen NSF OIG oversight, audit, investigative, and operational capabilities.
• Transform complex data into reliable, actionable intelligence to support risk identification and anomaly detection.
• Build predictive models, risk assessments, dashboards, reports, and scalable analytical solutions using statistical, machine-learning, and artificial-intelligence methodologies.
• Translate technical findings into clear, defensible recommendations with well documented, reproducible analytical processes.