Role Description Bringing experience analyzing student-level data at a Higher Ed institution or EdTech company in the areas of admissions, enrollment, financial aid, student success, institutional effectiveness, or finance and budget, you will step into a key role within HelioCampus’ Client Experience division. As a member of the DS-OPS (Data Science Operations, Products, and Services) team, you will partner directly with university leadership to turn "business questions" into "data questions," delivering analyses and predictive models that support institutional decision-making. In this role, you will work independently and collaboratively with engineers and clients to: - Design datasets - Perform statistical analysis - Build dashboards - Deploy machine learning models Managing your projects autonomously, you will use your strong communication skills to translate complex analytical results into clear, actionable insights for a variety of higher education stakeholders. Qualifications - Experience analyzing student-level data at a Higher Ed institution or EdTech company 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 experience required). - 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. - Experience working with student data from PeopleSoft, Banner, Colleague, Workday, Slate, Salesforce/TargetX, or other higher ed-specific data systems. - Ability to work effectively and independently in a remote role on an Eastern time zone business hour schedule, 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. Requirements - Advanced degree in an analytical/quantitative field (Comparable depth of experience can be substituted for quantitative field of study or advanced degree). - Experience working remotely with distributed teams and clients. - Experience with version control (git), software development processes, object oriented programming, and machine learning framework development. - MLOps experience deploying and maintaining production pipelines and models. - Experience applying a wide range of supervised and unsupervised machine learning and forecasting techniques using a variety of python packages. - Experience working with any of the following tools: jupyter notebooks, pandas, Docker, linux server/command line, EC2, S3, Amazon Redshift, airflow, SHAP, MLFlow, prophet, VS Code. - Experience using AI tools/services to increase delivery efficiency without sacrificing quality (for example - having built enough depth of coding experience to critically evaluate AI-generated code and avoid introducing issues that lead to future rework). - Experience with LLM Evaluation methods and frameworks. Benefits - Flexible work schedule - 18 PTO days on day one with additional PTO per year - Fifteen (15) paid holidays - Medical/dental/vision coverage - Parental leave - 401K with match - Company events - Referral bonus - Professional development opportunities - Home office perks - Two office locations Company Description - 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.

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