Data Scientist (Data Analytics Developer II)

About the role

The Data Scientist will play a crucial role in transforming complex institutional data into actionable insights that support strategic initiatives and operational decisions.

Responsibilities

• Develop scalable data analytics solutions using modern programming languages and tools
• Translate stakeholder requirements into effective technical deliverables
• Implement data pipelines, automation processes, and data engineering techniques to optimize institutional workflows
• Write, review, and optimize code for data processing, analysis, and visualization
• Design data models, algorithms, and statistical analyses to extract meaningful insights from large and diverse datasets
• Ensure data accuracy, consistency, and integrity through validation processes, quality checks, and adherence to data governance standards
• Maintain clear documentation of data processes, systems, and workflows
• Troubleshoot data issues and continuously improve data architecture, pipelines, and analytics processes

Requirements

• Strong programming skills in SQL, Python, R, or related languages
• Experience developing scalable data analytics solutions and working with large, complex, and diverse datasets
• Proficiency with business intelligence and data visualization tools
• Knowledge of data modeling, statistical analysis, data engineering, and data operations principles
• Experience building, maintaining, or supporting data pipelines
• Understanding of higher education reporting conventions, CSU policies, and institutional research standards

Qualifications

• Equivalent to a bachelor's degree in a related field and two years of relevant experience
• Additional experience may substitute for required education on a year-for-year basis
• An advanced degree in a related field may substitute for required experience on a year-for-year basis

Skills

Strong analytical and problem-solving skills, ability to communicate technical concepts clearly, and strong organizational and project management skills.

Benefits

Competitive compensation, comprehensive benefits package, including generous time off, retirement, health coverage, education support, and optional offerings.

Pay

Salary is based on experience, education, and qualifications, within the department’s budget and equity guidelines.

Schedule

Full-time, benefits-eligible, permanent/probationary position with standard SDSU work hours of Monday – Friday, 8:00 a.m. to 4:30 p.m., with the possibility of partial telecommuting.

Department Summary

As part of Academic Affairs, Analytic Studies & Institutional Research (ASIR) partners with university leadership and campus divisions to deliver analytics, business intelligence, and data strategy that support student success, academic planning, and institutional effectiveness.

Education and Experience

Equivalent to a bachelor's degree in a related field and two years of relevant experience. Additional experience may substitute for required education on a year-for-year basis. An advanced degree in a related field may substitute for required experience on a year-for-year basis.

Key Qualifications

• Programming skills in SQL, Python, R, or related languages
• Experience developing scalable data analytics solutions and working with large, complex, and diverse datasets
• Proficiency with business intelligence and data visualization tools
• Knowledge of data modeling, statistical analysis, data engineering, and data operations principles
• Experience building, maintaining, or supporting data pipelines
• Understanding of higher education reporting conventions, CSU policies, and institutional research standards