HelioCampus
Data Scientist I
Bethesda, US
Sponsorship not specifiedDetected 5 days ago
PythonObject-Oriented ProgrammingGitSQLRedshiftDockerLinuxMachine Learningscikit-learnPandasAirflowData AnalysisData EngineeringData ScienceData VisualizationLLMsMLOpsStatisticsSalesforceForecastingBudgetingPerformance ManagementHRISLeadership
About the role
- As one of EdTech's most steadily growing companies, our roots in higher ed ground us in the critical nature of this work.
- What We Do: 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.
Responsibilities
- Communicate with stakeholders to determine institutional goals, and design analyses and data visualizations to provide insight to complex business problems.
- Conduct exploratory data analysis in collaboration with subject matter experts to build and validate analytical datasets.
- Work with data science and data engineering teams to build data pipelines, improve internal systems, and deploy and maintain models in a production environment.
- Collaborate with other data scientists to share knowledge, develop best practices, and contribute to documentation, process standardization, and product development.
- 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.
- 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).
- Example Projects You May 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.
- Sufficient visual acuity to read documents, view computer screens, and engage in tasks that require attention to detail.
Requirements
- Hearing: Ability to communicate effectively in person (as applicable) and via phone or video conferencing, ensuring clear understanding of verbal instructions.
- 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.
- Analytical dataset design and feature engineering skills (SQL experience required).
- Ability to conduct, interpret, and explain statistical analyses.
- Excellent communication and collaboration skills, and experience working with both business users and technical development teams, as well as presenting findings to decision-makers.
- Familiarity with production data pipeline and model deployment and management.
- Familiarity with relational database and data warehouse concepts.
- US East Coast working hours are required, and a strong preference is given to candidates who can easily travel to our Chapel Hill, NC or Bethesda, MD offices for occasional in-person work.
- Other tasks not mentioned here may be required.
Nice to have
- Nice To Have's Include:
- 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.
- MLOps experience deploying and maintaining production pipelines and models.
- Nice To Have's Include: Advanced degree in an analytical/quantitative field (Comparable depth of experience can be substituted for quantitative field of study or advanced degree).
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).
- jupyter notebooks, pandas, Docker, linux server/command line, EC2, S3, Amazon Redshift, airflow, SHAP, MLFlow, prophet, VS Code.
- Experience with LLM Evaluation methods and frameworks.
- Helping institutional stakeholders understand financial need and aid correlation with student success metrics.
- 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.
Compensation
- Occasionally travel (typically 1-3 days at a time, ~3 times per year) to HelioCampus offices and client sites for meetings and presentations.
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, and two
- 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.
- Develop statistical and machine learning models (classification, time series, etc.) using a custom python framework to generate scores and forecasts.
- 3+ years of experience delivering analytical insights to higher ed stakeholders, including building and evaluating machine learning models (python and scikit-learn experience required).
- 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.
- Experience with version control (git), software development processes, object oriented programming, and machine learning framework development.
Company info
- HelioCampus was founded with the purpose of helping college & university leaders navigate today's growing pressures.
- How We Do It: 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.
- How You'll Help: 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, and 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.
- We help our clients navigate today's high stakes with data and Institutional Performance Management practices.
- We are an AI-forward company and champion the smart use of technology.
Equal opportunity
- 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.
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This listing is sourced directly from HelioCampus's careers page and normalized into a canonical job model.