Role Description The Data Scientist will assist with data analytics and statistical modeling. In this role, the Data Scientist will collect, analyze, and interpret complex data sets to assist the end customer’s financial investigations. - Develop and execute complex database queries to extract and manipulate both structured and unstructured datasets, streamlining routine business processes and automating report generation. - Design and optimize business analytics workflows tailored for a US Government organization, enhancing the analysis and visualization of operational datasets. - Contribute to the development of investigative analysis capabilities and provide technical support for systems, ensuring data integrity and accessibility for analysis. - Collaborate as part of a small team while also managing independent tasks related to help desk support, efficiently handling ticketing data flows, generating insightful reports, and visualizing key performance indicators through dashboards for enhanced organizational decision-making. - Other duties as assigned. Qualifications - Bachelor’s degree from an accredited college or university - 3+ years of experience - Data analytics - Data wrangling - Experience working with financial crimes a plus - Public Trust required - Advanced proficiency in SQL required - Advanced proficiency in data wrangling with at least one of the following: R, Python, SAS/SAS Macro Language, Visual Basic - Self-starter and problem solver - Excellent communication skills - verbal and written - Flexibility and attention to detail - Ability to follow verbal and written instructions - Data visualization using tools such as Power BI, Excel, R, or Python - Microsoft Power Query Benefits - Broad range of benefits offered to team members. - Positive and supportive culture encouraging team members to do their best work. - Well-being programs and flexibility to make daily choices for a healthy work-life balance. - Opportunities for professional development and hands-on experience.

• Business Insight & Problem Definition: Partner closely with marketing and product teams to diagnose business challenges and define appropriate data metrics, analyses, and interpretations to drive strategic decisions. • Statistical Modeling: Define requirements for and lead the creation, monitoring, and iterative improvement of key statistical models used for marketing spend optimization and product growth. • Narrative & Visualization: Design clear, unambiguous narratives and data visualizations to communicate model outputs and analysis results to broad, non-technical audiences. • Rapid Prototyping: Independently prototype and test new insights, moving from hypothesis to rigorous validation with minimal mentorship. • Technical Consultation: Reason effectively about the strengths and weaknesses of different modeling approaches, selecting and iterating on combinations that suit specific marketing contexts.

• Diseño y desarrollo de soluciones de IA orientadas a casos de uso reales. • Implementación de agentes, pipelines RAG y sistemas basados en LLMs. • Integración con servicios cloud e infraestructuras hiperescalares. • Desarrollo de lógica de negocio y componentes en Python. • Tratamiento, preparación y transformación de datos. • Evaluación funcional y ajuste iterativo en producción. • Colaboración en la industrialización y despliegue junto a equipos técnicos.

Role Description The Data Manager is responsible for data management activities for research studies. The Data Manager works as an integral part of a cross-functional team through the lifecycle of the research study from design through final analysis and study closeout. The Data Manager is responsible for the completeness and accuracy of the study data in the electronic database and collaborates with internal and external project teams on all aspects of data collection. Responsibilities - Participates with cross-functional teams in design, documentation, testing, and implementation of clinical data collection studies in an electronic data capture (EDC) system. - Designs and/or develops study-specific electronic or paper Case Report Forms (CRFs), ensuring consistency with study protocol, clinical requirements, and accurate and efficient data collection. - Collaborates with the project team and other study personnel to determine data collection requirements based on the study protocol and system knowledge. - Documents and resolves data management issues for a protocol or group of protocols. - Assists with communication for internal and external teams to resolve data management issues. - Creates or reviews data validation check specifications; coordinates with relevant parties in the development and testing of eCRF and data validation checks. - Helps organize project team meetings and facilitates efficient project communication to ensure deadlines are met; participates in department meetings. - Creates and maintains study data management documents according to instructions (e.g. Data Management Handbook, Data Management Plan, Data Validation Plan, EDC System User’s Guide, EDC Training and Certification Documents). - Prepares data reports and assists with data presentations as applicable. - Reviews data obtained through Electronic Medical Records (EMR) integration, commercially available EDC systems, or other external data sources. - Mentors assigned employees on data management procedures and guidelines. - Identifies and resolves data queries and discrepancies; contributes to data quality metrics for a protocol or project; conducts data quality audits. - Conducts training for users on the EDC system and protocol-specific EDC requirements; maintains training documentation and manages system user access. - Other duties as assigned. Qualifications - Bachelor’s degree, preferably in a public health, clinical, science, technical, or related discipline; equivalent combination of education and relevant work experience may be considered in lieu of a degree. - Incumbent typically will possess at least 2 years of data management experience (or Master’s degree) and basic understanding of the clinical development and data management processes. - Experience in clinical electronic data capture (EDC) systems preferred. - Knowledge of Microsoft Office suite is essential. - Ability to handle multiple tasks at one time and to work with minimal supervision. - Excellent verbal and written communication skills. - Strong attention to detail, adaptable, and flexible. Benefits - This assignment will start you off as a temporary full-time employee working 40 hours per week. - The work presently is forecasted to go till December 31, 2026. - A decision will be made if the work will continue and if so, whether or not to convert whomever is in the role to a FTE.