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About
HelioCampus was founded with the purpose of helping college and university leaders navigate today's growing pressures. As one of EdTech's most steadily growing companies, our roots in higher ed ground us in the critical nature of this work. We help our clients navigate today's high stakes with data and Institutional Performance Management practices. Together with our clients, we chart a path to sustainability by borrowing practices from the most successful businesses. We approach our work with a "we're on it" attitude that the higher ed community has come to know and expect from our team. We're data geeks to our core, committed to simplifying the toughest challenges and operating with transparency. Our most successful team members are change agents who love a challenge. As a Data Scientist, you will partner with college and university stakeholders to turn business questions into data questions and deliver analyses, predictive models, reports, and AI/ML solutions that support institutional decision-making and student success. You will design and prepare analytical datasets, conduct exploratory and statistical analysis, develop and maintain machine learning and forecasting models, configure and deploy AI/ML products, build interactive dashboards, and clearly communicate insights to higher education leaders and staff. In this role, you'll work independently and collaboratively with data scientists, analysts, engineers, and client stakeholders to deliver meaningful, actionable results across student success, institutional effectiveness, and operational efficiency. You will be a good fit for this role if you have: Experience building analyses using educational industry data at a Higher Ed institution or EdTech company, especially in the areas of admissions, enrollment, financial aid, student success, institutional effectiveness, or finance/budget. 3+ years of experience delivering analytical insights to higher ed stakeholders, including building and evaluating machine learning models (python and scikit-learn experience required). Analytical dataset design and feature engineering skills (SQL and python). Ability to conduct, interpret, and explain statistical analyses. Experience using interactive data visualization and business intelligence tools (Tableau and/or Power BI) to design and publish interactive reports and dashboards, enabling data exploration and communication of analysis results. Excellent communication and collaboration skills, and experience working with both business users and technical development teams, as well as presenting findings to decision-makers. Ability to work effectively and independently in a remote role, managing multiple priorities and meeting deliverable deadlines. Understanding of model transparency & explainability concepts, and ethical issues in data science. Familiarity with production data pipeline and model deployment and management. Familiarity with relational database and data warehouse concepts. Familiarity with a variety of machine learning methodologies, forecasting techniques, and generative AI (LLMs). A tool-agnostic approach to data science: excitement for adopting new tools and techniques, while having solid fundamentals that underpin quick learning and high quality work delivery. Projects you will work on: Developing classification models to predict admitted student yield, enrolled student retention, or on-time graduation, and presenting results to university leaders designing programs to improve student outcomes and support institutional success. Designing and publishing interactive dashboards to enable end-users to operationalize model results to make an impact at colleges and universities. Helping institutional stakeholders understand financial need and aid correlation with student success metrics. Forecasting enrollments using time-series methods to support budgeting and hiring decisions. Partnering with senior Data Scientists and other colleagues to improve our products and processes using new techniques, tools, and AI. Contributing to extensible python machine learning development and deployment framework. Documenting data pipelines, ML workflows, and deployed models for both internal teams and client end-users. Presenting webinars about our team's work to current and prospective clients. Location: HelioCampus has two locations, Bethesda, MD and Chapel Hill, NC. This specific role is primarily remote, with occasional travel to an office or client site. Compensation and Benefits: HelioCampus offers employees a competitive salary along with paid time off, healthcare, vision, dental, 401(k) w/ company match, parental leave, remote work flexibility, home office perks, and a fun, collaborative work environment. What sets us apart: Commitment to Higher Education:
We believe that serving higher ed makes the world a better place. This drives our desire to deliver high-quality products and services to help higher education institutions serve their students and communities. Flexibility to Fit Your Life:
HelioCampus employees enjoy the autonomy, freedom, and trust of a remote-first working environment. We embrace an "on it" mentality both in and out of the workplace, and employees are supported in pursuing personal and professional passions. A Community of Bright Minds with Big Hearts:
HelioCampus hires curious and talented practitioners who bring a diversity of thought and genuine care for one another and our clients to work every day. Our team members are more than a job description and are encouraged to show up as their full and authentic selves. HelioCampus is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. The list of responsibilities described above is not comprehensive. Other tasks not mentioned here may be required. Changing business conditions may trigger changes to job responsibilities. This job description is not an employment contract. This position requires the following physical qualifications to support a productive remote work environment. We are dedicated to providing reasonable accommodations for individuals with disabilities to perform the essential functions of this role. If you require accommodations, please discuss this during the application process. Vision: Sufficient visual acuity to read documents, view computer screens, and engage in tasks that require attention to detail. Hearing: Ability to communicate effectively in person (as applicable) and via phone or video conferencing, ensuring clear understanding of verbal instructions. Fine Motor Skills: Proficient use of hands for typing, using a mouse, and managing office equipment such as printers and scanners. Lifting: Occasional lifting of up to 10 pounds (e.g., office supplies or equipment).
Languages
- English
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