Learning Services Coordinator Rasmussen University Online/Remote The Learning Services Coordinator - Nursing plays a critical role in advancing student success through centralized, virtual academic support tailored to the rigorous demands of nursing education. The Coordinator manages synchronous and asynchronous online academic skill support aligned to the content area, including peer and professional nurse-educator tutoring services. As a key contributor to the Learning Services team, the Coordinator contributes to strategic initiatives, data-informed service enhancements, and cross-functional partnerships that expand the impact of departmental services. Responsibilities: - Hire, train, and manage online Work Study Peer Tutors in accordance with College Reading & Learning Association (CRLA) standards. - Hire, train, and manage online Nurse Educator Tutors aligned to evidence-based instructional standards. - Conduct regular performance evaluations according to applicable CRLA and HR standards. - Provide ongoing coaching and development opportunities for tutoring staff. - Design and deliver training sessions to ensure effective use of tutoring systems and service quality. - Contribute to the continuous improvement of tutor training content and student-facing academic skill instruction. - Maintain current knowledge of trends in nursing education, tutoring best practices, and learning science through ongoing professional development. - Develop and deploy academic skills webinars leveraging the collective expertise of internal tutors and external faculty stakeholders. - Curate and promote academic resources and services to support nursing licensure exam preparedness. - Maintain current knowledge of nursing curricula and assessments to inform disciplinary academic skill instruction. - Serve as a subject matter expert in nursing education to support targeted academic outreach and instructional design initiatives. - Coordinate Learning Center operations in partnership with Learning Services colleagues and leadership. - Collect, analyze, and report on tutoring usage, student outcomes, and satisfaction to inform continuous improvement and demonstrate impact. - Promote inclusive tutoring practices and ensure equitable access to academic support services for all nursing students. Reporting Relationships: The Learning Services Coordinator - Nursing reports to the Learning Manager, who reports to the Associate Director of Learning Services. The Learning Services Coordinator will formally supervise and manage a remote team, including a combined total of approximately ten Work Study Peer Tutors and Nurse-Educator Tutors. Supervisory experience is required. This role is indirectly responsible for the CRLA certification of peer tutors. Requirements: Required: - Minimum of three years of experience in online higher education supporting student academic skill development. - Masters degree in related field - Superior management and training experience in online higher education. - Ability to work independently and collaboratively as a team member and with other departments, both in person and virtually. - Flexibility to work a schedule aligned with university and student needs, including evenings and weekends. - Knowledge of principles and practices in tutoring centers, writing centers, or learning services. - Demonstrated track record of exceptional customer service in a professional environment. - Strong multi-tasking, organizational, planning, and coordination skills. - Self-motivated, flexible, patient, and solutions-oriented mindset. - Proficiency in Microsoft Office Suite, particularly Outlook, Word, Excel, and PowerPoint. - Excellent command of the English language, both oral and written, with superior communication skills. - Experienced in standard learning management systems and publishing methods for online education, including LTI and digital objects. Preferred: - Previous tutoring experience. - Systems knowledge and experience with MS Teams and OneDrive. - Expertise with webinar/webcasting/web conferencing software. - Experience with Springshare LibApps, including LibGuides, LibCal, and LibAnswers. About Us: Rasmussen University, a university accredited by the Higher Learning Commission, an institutional accreditation agency recognized by the U.S. Department of Education (www.hlcommission.org), is dedicated to changing lives and the communities it serves through innovative educational programs. As a pioneer in career-focused education since 1900, the University is defining a new generation of higher education that focuses on competency-based education, technology and transferable skills. Rasmussen offers undergraduate and graduate programs online and in person at 20 campuses around the country. The University is designed to lift and support its students every step of the way, from each student’s first credential to their last. Rasmussen is dedicated to global enrichment, serving the underserved, and meeting the evolving needs of diverse students, communities, and economies. Rasmussen encourages its students, faculty, and staff to strive for academic excellence, community enrichment and service to the public good. Rasmussen is a wholly owned subsidiary of American Public Education, Inc. (Nasdaq: APEI). For more information about Rasmussen University, please visit www.rasmussen.edu. It is the policy of Rasmussen University to afford equal opportunity to all qualified persons. We treat all qualified individuals equally as to their recruitment, hiring, assignments, advancements, compensation, and all other terms and conditions of employment. Rasmussen University does not discriminate on the basis of race, color, religion, creed, sex, age, national origin, sexual orientation, or physical, mental, or sensory disability, or any other characteristic protected by law. If you are a resident of a state with designated pay transparency requirements and this role is available remotely, you may be eligible to receive additional information about the compensation and benefits for this role, which we will provide upon request. Please send an email to recruiting@apei.com.

• Own and innovate on Cash Forecasting capabilities • End-to-end ownership of ML model development lifecycle • Collaborate with Business and Product stakeholders to develop a roadmap • Communicate complex concepts to influence strategic decisions • Collaborate with ML Scientists and Analytics Engineers to develop shared capabilities

• Develop and evaluate scalable deep learning algorithms that are central to our brain decoding initiatives. • Collaborate closely with data scientists to pioneer research in generative modeling and representation learning. • Identify bottlenecks in data processing pipelines and devise effective solutions, improving performance and reliability. • Maintain high standards of code quality, organization, and automatization across all projects. • Adapt machine learning and neural network algorithms to optimize performance in various computing environments, including distributed clusters and GPUs. • Write and revise papers, communicate and disseminate results.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Production Science team, within Data Science and Engineering, is responsible for developing and deploying analytics and machine learning tools and models that inform, support, and automate decision-making in the Netflix Studio. We collaborate closely with business and product partners in Content Finance, Strategy, and Production Operations teams to identify high-impact opportunities for data to enhance processes like production planning, scheduling, and budget creation. We are looking for an experienced ML Scientist to join the team. Responsibilities - Own and innovate on our highly impactful Cash Forecasting capabilities to enable increasingly sophisticated and accurate insights about our production spend. - Have end-to-end ownership of ML model development lifecycle, from feature engineering, to model training, evaluation, deployment and continuous monitoring and improvement. - Closely work with Business and Product stakeholders to develop a roadmap that meets the needs of changing business priorities. - Communicate complex concepts with both technical and non-technical stakeholders to influence strategic decisions. - Collaborate closely with ML Scientists and Analytics Engineers on the team to develop shared capabilities and best practices around developing and deploying data-driven applications for our Studio partners. - Embrace and enact Netflix values in daily work and interactions. About You - You have 5+ years of experience developing and deploying Machine Learning models with a successful track record of and passion for delivering business or research impact. - You hold an advanced degree (MS or PhD) in Computer Science, Statistics, Computational Social Science, Electrical Engineering or a related technical field with a focus on machine learning, artificial intelligence, and predictive modeling. - You have deep familiarity with the ML lifecycle and strong technical judgment when assessing different solutions for deploying models in production. - You are an excellent communicator with the ability to translate business context into ML applications, and, conversely, explaining outputs of ML applications to business partners, product managers, and peers. - You thrive in collaborative environments, and enjoy working with a diverse group of peers to solve ambiguous, impactful, problems. You are selfless in seeking the best solution for the problem at hand. - A passion for and appreciation of the creative and entertainment industry is definitely a plus. - Experience with forecasting models, financial data and/or familiarity with financial planning and analysis is a plus. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.