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.

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

• Deliver predictive modeling results and operational dashboards to end-users at colleges and universities, aiding them in comprehending and utilizing the findings and scores.

• Collaborate with data science and data engineering teams to develop data pipelines, enhance internal systems, and implement 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.

• Travel occasionally (typically 1-3 days at a time, approximately 3 times per year) to HelioCampus offices and client locations for meetings and presentations.

⛳️ Requirements

• Proven experience in developing analyses using educational industry data at a Higher Ed institution or EdTech company, particularly in 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 (experience with Python and scikit-learn is essential).

• Proficiency in analytical dataset design and feature engineering (using 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 create and distribute interactive reports and dashboards, facilitating data exploration and communication of analysis outcomes.

• Strong communication and collaboration skills, with experience working alongside both business users and technical development teams, as well as presenting findings to decision-makers.

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

• Knowledge of model transparency and explainability concepts, along with ethical considerations in data science.

• Understanding of production data pipeline and model deployment and management practices.

• Familiarity with relational database and data warehouse principles.

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

• A tool-agnostic mindset towards data science: enthusiasm for embracing new tools and techniques while maintaining a strong foundation that supports 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