Position Details
About this role
Capture Higher Ed seeks a data scientist to develop predictive models and AI-driven features that impact college enrollment outcomes. The role involves advanced analytics, machine learning, and collaboration with cross-functional teams.
Key Responsibilities
- Develop predictive models
- Apply machine learning techniques
- Analyze performance data
- Collaborate with teams
- Implement AI-driven features
Technical Overview
The role involves Python programming, data analysis with pandas and NumPy, machine learning techniques, working with large language models, and SQL for data querying. Focus on predictive modeling and AI integration in higher education.
Ideal Candidate
The ideal candidate is a mid-level data scientist with 2-5 years of experience in machine learning and data analytics, proficient in Python and SQL, with familiarity in large language models and prompt engineering. They should be capable of developing predictive models and working collaboratively with cross-functional teams in an educational environment.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 2 years of experience in data science, Lack of proficiency in Python or SQL, No experience with machine learning or LLMs, No relevant education background
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