Data Scientist — Remote
Gilmer, TX - USA
Job Summary
This is a remote position.
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Collect clean and analyze large datasets from student information systems assessments HR finance and operational platforms.
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Build predictive models to support enrollment forecasting student performance trends staffing needs and resource allocation.
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Develop dashboards and visualizations for district leadership campus administrators and instructional teams.
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Identify patterns anomalies and opportunities for improvement in academic and operational data.
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Collaborate with IT curriculum teams and administrative departments to define data requirements and reporting needs.
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Ensure data accuracy security and compliance with district state and federal guidelines.
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Present findings and recommendations in clear accessible formats for decisionmakers.
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Support continuous improvement initiatives through datadriven insights and analytics.
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Bachelors degree in Data Science Statistics Computer Science Mathematics or related field.
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15 years of professional experience in data analytics data science or statistical modeling.
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Proficiency in Python R SQL and data visualization tools (Power BI Tableau or similar).
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Strong understanding of machine learning techniques and predictive modeling.
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Experience working with large complex datasets.
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Ability to communicate technical concepts to nontechnical audiences.
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Strong analytical organizational and problemsolving skills.
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Masters degree in Data Science or related field.
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Experience working with K12 education data systems (Skyward PowerSchool Eduphoria etc.).
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Familiarity with cloud platforms (Azure AWS or GCP).
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Knowledge of statistical methods used in education and publicsector analytics.
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Experience developing automated reporting pipelines.
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Must be eligible to work in the United States.
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Commitment to supporting GISDs mission through highquality data insights.
Gilmer Independent School District offers a comprehensive benefits package designed to support the health financial security and overall wellbeing of our employees. Eligible fulltime employees receive:
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Medical dental and vision insurance plans
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Districtcontributed health insurance premiums
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Health Savings Account (HSA) and Flexible Spending Account (FSA) options
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Employee Assistance Program (EAP)
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Wellness programs and preventive care incentives
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Participation in the Teacher Retirement System of Texas (TRS)
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Optional 403(b) and 457(b) retirement savings plans
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Life insurance and supplemental life coverage
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Longterm disability insurance
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Competitive compensation based on experience and qualifications
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Paid sick leave
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Paid personal leave
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Paid district holidays
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Family and medical leave per federal and state guidelines
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Ongoing professional development and training
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Access to certifications workshops and continuing education
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Career advancement pathways within the district
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Remote work flexibility
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Technology and equipment provided
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Supportive missiondriven organizational culture
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Opportunities to contribute to meaningful studentfocused initiatives
Required Skills:
Key Responsibilities Collect clean and analyze large datasets from student information systems assessments HR finance and operational platforms. Build predictive models to support enrollment forecasting student performance trends staffing needs and resource allocation. Develop dashboards and visualizations for district leadership campus administrators and instructional teams. Identify patterns anomalies and opportunities for improvement in academic and operational data. Collaborate with IT curriculum teams and administrative departments to define data requirements and reporting needs. Ensure data accuracy security and compliance with district state and federal guidelines. Present findings and recommendations in clear accessible formats for decisionmakers. Support continuous improvement initiatives through datadriven insights and analytics. Required Qualifications Bachelors degree in Data Science Statistics Computer Science Mathematics or related field. 15 years of professional experience in data analytics data science or statistical modeling. Proficiency in Python R SQL and data visualization tools (Power BI Tableau or similar). Strong understanding of machine learning techniques and predictive modeling. Experience working with large complex datasets. Ability to communicate technical concepts to nontechnical audiences. Strong analytical organizational and problemsolving skills. Preferred Qualifications Masters degree in Data Science or related field. Experience working with K12 education data systems (Skyward PowerSchool Eduphoria etc.). Familiarity with cloud platforms (Azure AWS or GCP). Knowledge of statistical methods used in education and publicsector analytics. Experience developing automated reporting pipelines. Job Requirements Must be eligible to work in the United States. Commitment to supporting GISDs mission through highquality data insights.