Data Scientist I

This is a fully remote position, open to applicants in United States.

📋 Description

• Engage with stakeholders to identify institutional objectives and create analyses and data visualizations that offer insights into complex business challenges.

• Perform exploratory data analysis in partnership with subject matter experts to construct and validate analytical datasets.

• Build statistical and machine learning models (such as classification and time series) using a custom Python framework to produce scores and forecasts.

• Deliver predictive modeling outcomes and operational dashboards to end-users at colleges and universities, assisting them in understanding and utilizing the findings and scores.

• Collaborate with data science and data engineering teams to develop data pipelines, enhance internal systems, and deploy and maintain models in a production setting.

• Work alongside other data scientists to exchange knowledge, establish best practices, and contribute to documentation, process standardization, and product development.

• Occasionally travel (typically 1-3 days at a time, around 3 times a year) to HelioCampus offices and client sites for meetings and presentations.

⛳️ Requirements

• Proven experience in constructing analyses using educational industry data within a higher education institution or EdTech company, particularly in areas such as admissions, enrollment, financial aid, student success, institutional effectiveness, or finance/budget.

• Over 3 years of experience providing analytical insights to higher education stakeholders, including the development and evaluation of machine learning models (proficiency in Python and scikit-learn is essential).

• Skills in analytical dataset design and feature engineering (proficient in SQL and Python).

• Capability to conduct, interpret, and articulate statistical analyses.

• Experience utilizing interactive data visualization and business intelligence tools (such as Tableau and/or Power BI) to design and publish interactive reports and dashboards that facilitate data exploration and communication of analysis results.

• Exceptional communication and collaboration skills, with experience working with both business users and technical development teams, along with presenting insights to decision-makers.

• Ability to work efficiently and independently in a remote role, managing multiple priorities and adhering to deliverable deadlines.

• Understanding of model transparency and explainability concepts, as well as ethical considerations in data science.

• Familiarity with production data pipelines, model deployment, and management.

• Knowledge of relational databases and data warehouse principles.

• Awareness of various machine learning methodologies, forecasting techniques, and generative AI (such as LLMs).

• A tool-agnostic approach to data science, with enthusiasm for adopting new tools and techniques while possessing strong fundamentals that support rapid learning and high-quality work delivery.

🏝️ Benefits

• Competitive salary

• Paid time off

• Health insurance

• Vision

• Dental

• 401(k) with company match

• Parental leave

• Remote work flexibility

• Home office perks

• Collaborative work environment