Data Scientist I

🔥 12 minutes ago

🌲 North Carolina, Maryland – Remote

🌲 North Carolina – Remote 🦀 Maryland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

HelioCampus

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

📚 Education

🤖 Artificial Intelligence

💰 $10M Seed Round on 2015-12

Education • Artificial Intelligence • Data Analytics

HelioCampus is a company that partners with higher education institutions to enhance institutional effectiveness through data analytics, financial intelligence, and assessment platforms. They offer a comprehensive analytics platform to accelerate decision-making, drive administrative efficiency and sustainability, and improve student learning outcomes. With AI-ready data analytics and financial intelligence tools, HelioCampus helps institutions navigate today’s challenges by optimizing data infrastructure, implementing AI-powered models, and automating workflows. Their services include academic performance management, financial modeling, labor cost benchmarking, and accreditation planning, supporting over 150 educational institutions in achieving continuous improvement and strategic planning.

📋 Description

• 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. • Develop statistical and machine learning models (classification, time series, etc.) using a custom python framework to generate scores and forecasts. • Present predictive modeling results and operational dashboards to end-users at colleges and universities to help them understand and make use of the findings and scores. • 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. • Occasionally travel (typically 1-3 days at a time, ~3 times per year) to HelioCampus offices and client sites for meetings and presentations.

🎯 Requirements

• 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.

🏖️ 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