Data Scientist

Who We Are

At Lawelawe, our mission is to deliver innovative solutions that empower organizations and enhance their operational efficiencies. We pride ourselves on fostering a collaborative environment where technical excellence meets strategic vision. Our dedication to quality and client satisfaction drives us to exceed expectations and deliver impactful results.

An expert-level, analytically minded Data Scientist with experience transforming complex data into actionable insights. You are comfortable working independently in a fast-paced federal environment and collaborating within investigators, auditors, analysts, and leadership teams to solve complex problems through data analytics, modeling, visualization, and automation.

You have strong proficiency in Python and SQL, experience working with structured and unstructured datasets, and the ability to communicate technical findings clearly to non-technical stakeholders. You thrive in environments where critical thinking, innovation, and attention to detail are essential.

You will deliver advanced data analytics and modeling solutions that strengthen the National Science Foundation Office of Inspector General's oversight, audit, investigative, and operational capabilities. By transforming complex, raw data into reliable and actionable intelligence, you will help investigators, auditors, and leadership identify risks, detect anomalies, and make evidence-based decisions.

You will develop predictive models, risk assessments, dashboards, reports, and scalable analytical solutions using statistical, machine-learning, and artificial-intelligence methodologies. You will also translate technical findings into clear, defensible recommendations and maintain well documented, reproducible analytical processes that support accuracy and continuity of operations.

• Perform data analytics, statistical and non-statistical modeling, data mining, and data-management activities supporting projects and initiatives.
• Gather 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.
• Design, develop, and adapt mathematical, statistical, econometric, and other analytical solutions supporting audit, investigative, research, and program evaluation activities.
• Develop 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, and transform datasets and automate analytical processes.
• Perform ad hoc audit and investigative data-analysis requests and communicate findings in written and verbal formats.
• Prepare comprehensive reports addressing data adequacy and quality, methodologies, assumptions, results, findings, recommendations, and the relevance of the issues under review.
• Document data sources, methodologies, model assumptions, analytical workflows, code, data pipelines, and models to ensure transparency, reproducibility, and continuity.
• Provide training to staff on all work products developed, including preparing user guides, manuals, technical documentation, and other knowledge-transfer materials.
• Monitor, maintain, and update analytical models, scripts, and data workflows as technologies, data sources, and mission requirements evolve.
• Ensure compliance with applicable federal security, privacy, accessibility, and data-governance requirements.

Lawelawe Technology Services is a forward-thinking solutions provider dedicated to delivering excellence through innovation and collaboration. Our team is composed of highly skilled professionals who are passionate about technology and committed to making a difference. We work together to solve complex challenges and drive successful outcomes for our clients.

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Systems, or a related…