• Define and execute a research roadmap focused on quantum algorithms and computational methods • Conduct cutting-edge research in quantum optimization and quantum machine learning • Collaborate with quantum hardware vendors to co-design algorithms for performance • Publish research findings in top-tier scientific journals and present at international conferences • Identify and evaluate business applications for quantum computing, translating research into commercial value

• Track database set-up, testing, maintenance and data entry • Communicate with clients, project teams and vendors on data management matters • Review study documents, design and develop project specific guidelines and instructions • Design eCRF, Data Management and Data Validation Plans and test EDC databases • Ensure data entry, follow-up and validation, including manual CRF review and SAE reconciliation • Code medical data • Track and report metrics leading to database lock • Coordinate the processing, dispatch and archiving of CRFs/queries • Maintain Clinical Data Management working files • Perform database QC checks, prepare and attend audits • Train site staff and project teams on CRF completion and data management topics

Role Description Delivers advanced people analytics and predictive insights to enable strategic, fair, and data‑driven workforce decisions. Accountabilities - Develop advanced people analytics and predictive models to inform workforce planning, retention, and talent decisions. - Deliver strategic workforce and talent insights by translating complex people data into actionable recommendations for HR leaders. - Create executive‑ready insights and storytelling that clearly communicate workforce risks, opportunities, and tradeoffs. - Ensure analytic rigor and continuous improvement through strong data science practices, documentation, and model refinement. - Partner with analytics application developers to design and deliver advanced dashboards and analytics products that enable scalable, self‑service people insights. - Stakeholder Interaction: Partners closely with HR COEs and leadership (e.g., Talent/Total Rewards/DEI/HRBPs) and cross-functional stakeholders to define questions, interpret results, and drive action. - Influence/Impact: Ability to influence leaders and decision makers with data through visualization and insights. Qualifications - Strong proficiency in Posit, RConnect, RShiny, and GitLab for analytics application development and version control. - Ability to present complex analytics concepts to non-technical audiences. - Executive‑ready data storytelling skills, including clear visualizations, narratives, and recommendations. - Strong analytic rigor and judgment, including data validation, documentation, and continuous improvement of models and methods. - Stakeholder advising. - Ability to partner cross‑functionally with HR COEs, Legal/DEI, IS, and people analytics team members to deliver scalable insight solutions. - 5+ years related experience. - Bachelors' degree required, Masters degree preferred. Company Description The Hershey Company is an Equal Opportunity Employer. The policy of The Hershey Company is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's race, color, gender, age, national origin, religion, citizenship status, marital status, sexual orientation, gender identity, transgender status, physical or mental disability, protected veteran status, genetic information, pregnancy, or any other categories protected by applicable federal, state or local laws. The Hershey Company is an Equal Opportunity Employer - Minority/Female/Disabled/Protected Veterans. You may request a reasonable accommodation if you are unable or limited in your ability to use or access our online application process as a result of a disability. You can request an accommodation via phone or email. To request an accommodation via phone, please call +1 877-804-1794 and leave a voicemail with your contact information. You may also email a request for accommodation to ApplicationHelp@hersheys.com. Please be sure to include “Accommodation Needed” in the subject line. This will ensure that your email is routed to the appropriate contact who will handle your request.

• Design, build, and optimize Machine Learning models powering origination, behavioral scoring, limit management, and early-warning systems • Leverage alternative data sources including transaction behavior, merchant data, and device intelligence to improve predictive performance • Evaluate and implement the infrastructure required to deploy, monitor, and retrain models at scale • Explore the applications of novel architectures (transformers, foundational models, etc.) for credit risk and related tasks • Collaborate with cross-functional teams to identify opportunities for data-driven insights and solutions • Work with other members of the Credit Risk team to build credit policies across the full customer lifecycle: origination, limit management, restructuring, and write-offs • A lot of autonomy and ownership: you will own at least one Machine Learning model end-to-end • Communicate findings and insights to technical and non-technical stakeholders