Role Description Leads the data-science and risk-analytics workstream supporting Safeguards' risk-based review selection. Builds and maintains the models, scripts, and dashboards that rank partner agencies by risk and inform which agencies are selected for review. Key Responsibilities - Maintain and operate data fields, code, and scripts that analyze review-finding data and its relationship to Risk Model outputs and Health Score calculations. - Revise and maintain formulas and macros that provide weighted evaluations of risk factors. - Perform data aggregation to identify the most “at-risk” agency partners, including manual validation of automated rankings. - Develop and maintain the Risk Dashboard — findings, risk levels, rankings, remediation status, and historical trends — with clear visualizations for the Risk Team. - Support the Quarterly Risk Team Meetings and maintain the Risk Support Work Plan. Qualifications - Demonstrated experience applying scientific methods, processes, algorithms, and systems to extract or extrapolate insights from structured and unstructured data across multiple application domains. - Demonstrated use of automation and scripting techniques. - Experience presenting analytic results to management and non-technical personnel. Requirements - Minimum Education: Bachelor's degree or higher in accounting, mathematics, engineering, finance, economics, and/or data science from an accredited college or university. - Specialized Skills: - Tableau - R programming - Python 3 - VBA - Citizenship: US Citizen (MUST) - Security Clearance: Must be eligible to possess MBI (IRS Background Investigation) clearance. Active IRS MBI clearance is preferred. Commitment to Diversity eTelligent Group provides equal employment opportunities (EEO) to all applicants without regard to race, color, religion, gender, sexual orientation, gender identity, nations origin, age, disability, genetic information, marital status, amnesty, status as a covered veteran, and any other characteristic provided in accordance with applicable, federal, state and local laws.

• Aid with the statistical design, analysis, and reporting of clinical study data (pre-market feasibility, pre-market pivotal, post-market, observational, and RWE) • Collaborate with clinical, medical, and regulatory teams to ensure study objectives are met with robust statistical methodologies • Develop innovative data science approaches (e.g., predictive modeling, ML/AI) for clinical trial optimization and patient outcomes research • Oversee data quality, integrity, and compliance with regulatory standards (FDA, EMA, ICH-GCP) • Partner with Data Management teams on CRF design, data cleaning, and database lock activities • Ensure data traceability, reproducibility, and adherence to relevant data standards • Provide data science input to clinical development plans, study protocols, and statistical analysis plans (SAPs) • Support publications, abstracts, and presentations with high-quality deliverables • Mentor clinical affairs interns • Represent the company in scientific forums, regulatory discussions, and cross-industry initiatives.

• Conduct exploratory analyses of large volumes of transactional and behavioral data to uncover actionable insights and business opportunities. • Build and deploy machine learning and deep learning models that solve real-world problems, such as fraud detection, recommendation systems, credit risk analysis, purchase propensity, and churn prediction, among others. • Validate hypotheses through controlled experiments using A/B testing methodologies and statistical analysis. • Collaborate with Product Owners and engineers to translate business problems into robust, scalable analytical solutions.

• You are responsible for the global MDM strategy, the roadmap, and the data governance framework, as well as defining clear data responsibilities (Data Ownership) • You will build a central MDM Center of Competence (CoC) within the TQG Group, establish standards, and ensure the internal development of expertise • You will lead the MDM team functionally and disciplinary, and coordinate the Business and Technical Data Stewards • You will design the Master Data Operating Model (MDOM) as well as end-to-end, cross-domain master data processes (Product, Customer, Supplier, Finance, Logistics) • You will act as a bridge to the business units (SCM, Sales, Finance, etc.) and lead strategic governance committees • You will define and monitor MDM metrics (KPIs) using dashboards and drive continuous improvement processes • You will work closely with the MDM data architecture team to optimally translate strategic guidelines into technical solutions • You will actively promote a cultural shift toward active data ownership across the entire organization