Data Scientist (DHS Public Trust or Top Secret Required)

Our client is seeking a Data Scientist with 6 years of experience to support theri AI/ML, advanced analytics, and data visualization initiatives. In this role, you will design and implement AI solutions that are grounded in foundational and large language models. You will partner with stakeholders to solve complex business problems by using AI, applying programming expertise (i.e., Python), and applying advanced analytics to analyze unstructured data.

This role will be instrumental in analyzing, visualizing, and communicating data insights that drive key business decisions. The ideal candidate will have strong technical skills in Coding, Visualization, and Cloud Development, as well as excellent communication and presentation abilities.

YOUR FUTURE DUTIES AND RESPONSIBILITIES

Data Analytics and Business Intelligence:

• Partner with stakeholders to define analytical needs and deliver actionable solutions.
• Develop and maintain data models to support advanced analytics initiatives, AI/ML, Generative AI, and predictive analytics initiatives, AI/ML, Generative AI, and predictive analytics.

Data Visualization and Reporting:

• Design and create interactive dashboards and reports using Tableau and Power BI.
• Present findings in a clear, concise manner tailored to both technical and non-technical audiences.

Data Extraction and Management:

• Work with relational databases (e.g., Oracle, PostgreSQL, MySQL) to support data integrity and consistency.
• Automate routine data processes using a variety of scripts and tools. (e.g., Python, Power Automate, SQL, AWS).

Cloud Technology Utilization and Automation:

• Leverage AWS Cloud services (e.g., S3, EC2, RDS, Lambda) for data processing, storage, and retrieval.
• Ability to guide and support cloud modernization of data processes.

Collaboration and Communication:

• Collaborate with cross-functional teams, including engineers, analysts, and business stakeholders.
• Clearly articulate analytical concepts and results to a wide range of audiences.
• Contribute to client-facing presentations and written reports.

QUALIFICATIONS

• Bachelor’s Degree in Mathematics, Computer Science, Information Systems, or a related field.
• 6 years of progressive experience in data science, advanced analytics, data visualization, and reporting, with demonstrated ownership of analytical solutions from concept through delivery and operationalization.
• Proven ability to lead the design, development, and deployment of data-driven solutions, including AI/ML models, predictive analytics, and business intelligence products, in production environments.
• Advanced proficiency in Python for data manipulation, automation, and development of scalable analytical workflows.
• Strong expertise in SQL and relational databases (e.g., Oracle, PostgreSQL, MySQL), with the ability to design efficient data models and support complex data integration needs.
• Extensive experience developing automated data pipelines and analytics workflows using Python, SQL, and related tools, with a focus on scalability, reliability, and maintainability.
• Hands-on experience leveraging cloud services (e.g., S3, EC2, RDS, Lambda) to design and implement data processing, storage, and analytics solutions.
• Demonstrated ability to design and deliver impactful data visualizations and dashboards using Tableau and/or Power BI, with a strong emphasis on data storytelling and executive-level communication.
• Experience leading or significantly contributing to the full analytics lifecycle, including problem framing, data acquisition, modeling, validation, deployment, and performance monitoring.
• Ability to operate independently in ambiguous environments, translating complex business challenges into structured analytical approaches and actionable insights.
• Strong collaboration and leadership skills, with experience guiding cross-functional teams and influencing stakeholders at multiple levels of the organization.
• Excellent written and verbal communication skills, with the ability to clearly articulate technical concepts to both technical and non-technical audiences.
• Familiarity with modern software development practices, including version control (e.g., Git), testing, and iterative development methodologies.
• Experience developing prototypes and proof-of-concept solutions, with the ability to rapidly iterate and transition solutions into production-ready systems.

NICE TO HAVES

• Master’s Degree.
• Strong knowledge of change management processes and technologies (e.g., GitHub)
• Experience modeling and analyzing big data in cloud environments.
• Demonstrated experience developing prototypes and proof-of-concept applications or software from end-to-end.
• Experience with image processing and signals analysis.
• Knowledge of federal data governance standards, compliance frameworks, and best practices.

Clearance: U.S. Citizen; Active DHS Clearance, DoD Top Secret Clearance, or Q-level Clearance.