Job Description & How to Apply Below
Key Responsibilities Build and maintain well-structured data pipelines using modern tools and frameworks.
Develop, test, and deploy data models, predictive analytics, and statistical analyses related to education operations (e.g., student performance, enrollment, operational efficiency).
Analyze large datasets and provide actionable insights to guide educational initiatives and business decisions.
Collaborate closely with software engineers to integrate models into applications, dashboards, and automated workflows.
Work with stakeholders to define project requirements, KPIs, success metrics, and deliverables.
Ensure model accuracy, data integrity, and compliance with privacy standards (FERPA, etc.).
Present findings in clear, concise formats suitable for both technical and non-technical audiences.
Required Qualifications Solid understanding of machine learning algorithms, statistics, and predictive modeling.
3+ years of experience as a Data Scientist, with at least 1 year supporting education-related projects or institutions.
Strong proficiency in Python (Pandas, Num Py, scikit-learn, etc.) or R.
Hands-on software engineering experience (e.g., version control, APIs, basic Dev Ops, CI/CD familiarity).
Experience working with relational and/or No
SQL databases.
Comfort working cross-functionally with software engineers and product teams.
Strong communication skills and the ability to translate complex findings into clear insights.
Preferred Skills
Experience with education data systems (SIS, LMS, ERP for education).
Familiarity with cloud platforms (AWS, GCP, or Azure).
Knowledge of MLOps tools and workflow automation.
Background in data visualization using tools like Tableau, Power BI, or Looker.
Contract Details Engagement:
Freelance / Independent Contractor
Hours:
project-based; flexible
Location:
Remote
How to Apply
Please send your resume and hourly rate to
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