• Working at the intersection of data engineering and business logic, you will play a critical role in the Data Science and Engineering Department at Upsun. • By transforming vast amounts of raw platform events and business data into high-quality metrics, you enable deeper insights into our customers and internal operations. • You serve as a strategic advisor to both technical and non-technical teams, ensuring that data-driven decision-making is accessible, performant, and reliable across the entire organization. • Your work directly influences how we build our products and scale our global infrastructure. • You will implement models that transform raw data into useful metrics and comprehensive data products. • You will partner with various teams to gather requirements, align methodologies, and advocate for best practices in data consumption. • You will manage data at various scales, including petabyte-level datasets, using efficient and performant techniques. • You will improve our codebase and processes by delivering repeatable, well-documented solutions. • You will help business units understand the impact of specific metrics and the cascading effects on product components. • You will work within a multicultural, remote-first environment that values curiosity and a thirst for knowledge.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Courses will be taught in Spanish. Candidates must be fluent in both English and Spanish and pass a fluency test. APUS faculty demonstrate a strong commitment to learning, teaching, interaction with students and faculty, service to our communities of practice, and scholarship. Bilingual faculty (English/Spanish) effectively communicate in both languages, both verbally and in writing, to support our diverse student population. United by the common goal of inspiring academic excellence in students with a broad range of interests and experiences consistent with the Community of Inquiry Framework, as adopted by American Public University System (APUS) for cognitive presence, teaching presence, and social presence: - Faculty play a vital role in creating a rewarding online learning experience for students by engaging them, challenging them, and supporting them. - Contribute to and participate in a range of activities related to effectiveness and excellence in teaching and student retention. - Maintain expertise in their discipline, adhere to APUS guidelines, processes, and methods. - Remain responsive to mentoring and coaching that fosters ongoing professional growth. When Applying: - Upload a CV and a copy of unofficial transcripts, master's degree and above. Student issued/unofficial copies are acceptable. Please do not send us official copies, unless specifically asked. General Work Requirements: - All APUS faculty are required to complete the “Engaging the First‐Year Student Certification” course (APUS110), offered through the Center for Teaching and Learning (CTL). It must be completed within six months of the hire date. - Graduate Faculty must complete the Graduate Faculty Certification (APUS501) within 90 days of hire. - Specific requirements related to your Graduate / Undergraduate Faculty designation, duties, and performance expectations are outlined on the Course Assignments issued with respect to each course to be taught. - You agree to comply with and be bound by all policies with respect to work product and intellectual property rights set forth in the APUS Faculty Handbook, the APUS Employee Handbook, the APEI Employee Handbook, and applicable Course Assignments. - You will be expected to perform your duties in a remote, professional working environment of your choice. APUS assumes no responsibility for injuries occurring in your selected workspace or damages related to your real or personal property resulting from your employment with APUS. Qualifications - Doctoral degree in Business, Analytics, Engineering, Computer Science, Operations Management, Management, or a closely related field from a regionally accredited institution is required. - Five or more years of experience in a data science field is required. - Bilingual fluency in English and Spanish is required. - Candidates must be able to communicate effectively in both languages, verbally and in writing. - Demonstrated proficiency in English and Spanish with the ability to convey complex information clearly and accurately across diverse audiences. - Proficiency testing in both English and Spanish will be part of the application process to confirm language fluency levels required for the position. - Ability to translate and interpret information, ensuring accuracy and cultural sensitivity in communication. - Experience supporting or engaging with Spanish-speaking students preferred. - Online college-level teaching experience is required. - Record of excellence in teaching. Benefits - Information regarding our faculty benefits may be found here: Faculty Benefits . Company Description American Public University System (APUS) is an Online University based in Charles Town, WV. Our University has over 100,000 students. Our emphasis is educating our nation’s military and public services communities with quality and affordable education. APUS provides partnership and commitment in helping students realize the dream of a higher education and the opportunities that brings. It is the policy of American Public University System (APUS) 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. American Public University System (APUS) 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. #LI-Remote

• Own problems end-to-end from ambiguous business questions to stable technical solutions • Act as a technical architect and strategic thought partner • Partner with senior stakeholders to define success metrics • Design technical approach and build production-ready data systems • Translate business needs into well-modeled data foundations • Lead A/B test design, statistical evaluation, and causal analysis • Translate complex analytical findings into clear, actionable recommendations • Establish modeling, documentation, and data quality standards

• Design, implement, and manage scalable data pipelines and analytics platforms. • Build and maintain dbt models to support customer projects and internal decision making. • Work with internal stakeholders to ensure data products are research-ready and aligned with customer needs • Implement and manage data instrumentation and product analytics tooling (e.g. Mixpanel) to ensure accurate tracking and reporting • Identify opportunities for optimizing data workflows and proactively address technical debt. • Partner with Engineering, Data Science, and Commercial teams to translate business and client needs into reliable, scalable data solutions