LMI is seeking for a Audit Data Scientist to provide support the NASA OIG's of Data Analytics Infrastructure Services to a cloud analytics environment by developing infrastructure roadmaps, assisting with analytic architecture, and executing data automation processes. This role involves hands-on migration of analytics products to the cloud, liaising with IT teams, and providing technical expertise in cloud-native tools and solutions.

LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.  

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• Develop an analytic infrastructure roadmap to transition data analytics infrastructure services to a cloud analytics environment.
• Assist in designing and implementing analytic architecture within a cloud framework.
• Support data automation processes to enhance efficiency and streamline operations.
• Provide project management support, ensuring effective coordination and execution of data analytics infrastructure services initiatives.
• Perform hands-on migration of analytics products and services to a cloud environment, ensuring minimal disruption and optimal performance.
• Develop and implement modernization strategies for existing data analytics infrastructure, utilizing cloud-native tools and services.
• Optimize cloud architecture and infrastructure to improve scalability, security, and cost-efficiency for analytic operations.
• Liaise with OIG IT and other entities to facilitate communication and collaboration.
• Deliver data analytic consulting services to identify methods, tools, and solutions for audit projects.
• Develop and implement a variety of data analytic products and services, including analyses, data mining, reports, dashboards, and data visualizations.
• Collaborate with subject matter experts to enhance data analytic solutions and ensure alignment with audit objectives.
• Acquire and maintain data from NASA, OIG peers, and open-source platforms.
• Demonstrate leadership and soft skills to ensure customer satisfaction and effective project management.

Minimum:

• Bachelor’s degree in Data Science, Information Systems, Computer Science, or a related field.
• Experience with cloud analytics environments and cloud infrastructure.
• Proficiency in data analytics tools and programming languages (e.g., Python, SQL, R).
• Proven hands-on experience in migrating data analytics products to cloud platforms such as AWS.
• Proficiency in cloud-native tools and services for analytics and data processing (e.g., AWS Redshift, Glue, S3, Lambda, RDS, etc.).
• Strong technical skills in configuring, deploying, and managing cloud infrastructure components relevant to data analytics.
• Strong understanding of data automation and analytic architecture design.
• Experience in project management within a technical or data analytics context.Excellent communication skills for writing reports and collaborating with diverse teams.
• Ability to liaise effectively with IT and other organizational entities.

Preferred:

• Master’s degree in a relevant field.
• Relevant certifications in cloud computing, data analytics, or project management (e.g., AWS Certified Solutions Architect, Certified Data Analyst, PMP).
• Experience working with NASA's cloud environment capabilities.
• Experience in designing and executing cloud modernization initiatives for legacy analytic systems.
• Familiarity with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments and configurations.
• Expertise in optimizing cloud environments for performance, security, and cost, with a focus on analytics workloads.
• Demonstrated expertise in developing complex dashboards and data visualization solutions.
• Previous experience in an audit or government setting.
• Strong problem-solving skills and ability to deliver innovative solutions.
• Ability to manage multiple projects and prioritize tasks effectively.