Data Scientist

This is a builder-focused Data Scientist / Data Analytics Developer role supporting institutional analytics in a higher-education environment. You will design and deliver scalable analytics solutions that enable data-informed decision-making across enrollment, student success, academic operations, and institutional effectiveness.

• Develop scalable data analytics solutions using SQL, Python, R, and modern data tooling to translate stakeholder needs into production deliverables
• Build, maintain, and optimize data pipelines, ETL/ELT processes, and automation to improve data delivery and institutional workflows
• Write, review, and optimize code for data processing, statistical analysis, and visualization to support reporting and decision making
• Design data models, statistical analyses, and algorithms to extract actionable insights from large, complex datasets
• Create and maintain dashboards and analytical products using tools such as Tableau and/or AWS QuickSight
• Ensure data accuracy, consistency, and governance through validation, quality checks, and documentation
• Troubleshoot data issues and iterate on data architecture, pipelines, and analytics processes to improve reliability and performance
• Communicate technical concepts and findings clearly to both technical and non-technical stakeholders

• Work on mission-driven, high-impact analytics projects that inform institutional strategy and student success initiatives
• Collaborate with a diverse, skilled team across data engineering, analytics, and institutional leadership
• Gain hands-on experience with modern data stacks, BI tools, and advanced analytics practices
• Opportunities for professional growth and visibility within a large, dynamic organization
• Competitive compensation and comprehensive benefits with a focus on work-life balance

• Full-time, benefits-eligible, permanent/probationary appointment
• Exempt position (not eligible for overtime)
• Standard work hours may vary based on operational needs; partial telecommuting/remote work arrangements may be available as approved by the confidential client
• This role involves working across data engineering, BI, analytics, and institutional reporting domains

The analytics unit supports data-informed decision-making across the institution. The team combines data engineering, predictive analytics, institutional reporting, and business intelligence to produce dashboards, analytical tools, and scalable data solutions used by campus leadership and operational units.

• Equivalent to a bachelor’s degree in a related field plus two (2) years of directly relevant experience. Additional experience may substitute for the education requirement on a year-for-year basis. An advanced degree may substitute for experience on a year-for-year basis.

• Strong programming skills in SQL and at least one of: Python or R
• Experience developing scalable analytics solutions and working with large, diverse datasets
• Proficiency with BI and visualization tools (Tableau and/or AWS QuickSight preferred)
• Working knowledge of data modeling, statistical methods, and data engineering principles
• Experience building or supporting data pipelines, storage, transformation, and front-end delivery
• Understanding of data quality management, metadata practices, and data governance (including data privacy and security best practices)
• Strong analytical, problem-solving, and debugging skills
• Ability to communicate technical findings clearly to both technical and non-technical audiences
• Experience with project management and collaboration tools (e.g., Jira, Trello)
• Ability to work independently and collaboratively with cross-functional stakeholders
• Experience or familiarity with higher education reporting conventions and institutional research standards is a plus

• Salary range: $6,492.00 – $9,458.00 per month (CSU classification range). Actual salary offered will depend on experience, education, and qualifications and will be determined within the confidential client’s budget and equity guidelines.
• Full benefits package may include: paid holidays, vacation and sick leave; retirement plan options; medical, dental, and vision coverage; tuition support or tuition waiver programs (where offered); and optional voluntary benefits (e.g., life/disability insurance, legal plans).
  

CareerTakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

• If you have questions about how your data is used, please contact us directly.