Data Scientist

Anoka-Hennepin Schools
Anoka, MN, United States
19 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Compensation
$128,899.0 - $155,968.0
Working hours
Regular working hours
Job source

Tech stack

Adaptable Database Systems Business Analytics Applications Data Analysis Big Data Cluster Analysis Information Systems Data Governance Data Mining Data Systems Data Visualization Relational Databases Database Queries
+12 more
Federal Information Processing Standards (FIPS) R (Programming Language) SPSS (Software) Python (Programming Language) Regression Analysis Power BI SAS (Software) Student Information Systems SQL Databases Stata Tableau (Software) Information Technology

Job description

The Data Scientist provides advanced analytical, statistical, and data science expertise to support strategic decision-making and improve student outcomes across the district. This position develops predictive models, conducts complex statistical analyses, creates interactive dashboards and reports, and transforms large, complex datasets into meaningful information that informs instructional, operational, and organizational decisions.

Working collaboratively with the Chief Academic Officer, Director of Research, Evaluation and Testing, Information Technology, Learning & Achievement, Student Support Services, Community Education and Early Childhood, Human Resources, Finance, and other district departments, the Data Scientist supports program evaluation, continuous improvement efforts, and the effective use of data throughout the district., * Develop statistical models, predictive analytics, and data science solutions to support district initiatives and continuous improvement.

  • Analyze large and complex datasets to identify trends, patterns, relationships, and opportunities for improving student outcomes and organizational effectiveness.
  • Apply statistical techniques including regression analysis, forecasting, clustering, predictive modeling, classification, and other quantitative methods.
  • Conduct exploratory analyses and data mining to answer strategic questions related to instruction, operations, student services, and district performance.
  • Identify appropriate data sources and analytical approaches to address district priorities., * Develop SQL queries and other data extraction methods to obtain and prepare data from multiple district information systems.
  • Build, organize, and maintain datasets used for recurring analyses, dashboards, and reporting.
  • Ensure the accuracy, integrity, and quality of data used in analyses and reporting.
  • Collaborate with Information Technology to improve access to reliable and consistent district data.

Reporting and Data Visualization

  • Design and maintain interactive dashboards, visualizations, and reports that communicate complex information in meaningful and accessible ways.
  • Translate technical analyses into actionable information for district leaders, school administrators, and staff.
  • Prepare written reports and presentations that support district planning, evaluation, and decision-making.
  • Support district staff in interpreting data and understanding analytical findings., * Support the evaluation of district programs, initiatives, and strategic priorities.
  • Design research methodologies and statistical analyses to measure program effectiveness and implementation.
  • Assist with accountability reporting and state and federal reporting requirements as assigned.
  • Maintain current knowledge of research methods, educational analytics, and emerging data science practices., * Collaborate with district departments to identify analytical needs and develop appropriate research and data solutions.
  • Provide technical expertise in statistical analysis, predictive modeling, and data visualization.
  • Work closely with the Director of Research, Evaluation and Testing to support district research, accountability, and evaluation initiatives.
  • Partner with Information Technology to improve access to reliable, high-quality data.
  • Participate on cross-functional teams supporting district improvement initiatives.
  • Maintain confidentiality of student, employee, and district information in accordance with district policies and state and federal laws.
  • Perform other duties as assigned., * Analyzing large and complex datasets.
  • Developing statistical models and predictive analyses.
  • Writing SQL queries and managing relational data.
  • Designing dashboards and visualizations that communicate data effectively.
  • Translating technical analyses into clear and actionable recommendations.
  • Managing multiple projects and priorities.
  • Communicating effectively both verbally and in writing.
  • Establishing and maintaining collaborative working relationships across departments.
  • Presenting technical information to both technical and non-technical audiences.

Requirements

Master’s degree in Statistics, Data Science, Mathematics, Computer Science, Economics, Research Methods, Educational Measurement, Analytics, or a closely related quantitative field., * Four (4) years of progressively responsible experience in data science, statistical analysis, research, program evaluation, predictive analytics, or a related field.

  • Experience working with large, complex databases.
  • Experience developing dashboards and communicating analytical findings to leadership.
  • Experience in public education or another large public-sector organization is preferred.

Equivalent combinations of education and experience may be considered., * Statistical analysis and predictive modeling techniques.

  • Research design and quantitative evaluation methods.
  • SQL and relational database management.
  • Data visualization tools such as Power BI, Tableau, or similar platforms.
  • Statistical software including R, Python, SPSS, SAS, Stata, or comparable analytical tools.
  • Educational data systems and student information systems.
  • Data governance, privacy laws, and confidential records management.
  • Continuous improvement processes and evidence-based decision-making., * Requires prolonged periods of sitting and working at a computer.
  • Occasional walking, standing, bending, reaching, and light lifting up to 10 pounds.
  • Specific vision abilities required include close vision and the ability to adjust focus.
  • The work environment includes district offices, meeting rooms, and school buildings.
  • Must be able to respond to changing priorities while maintaining professionalism and composure.
  • Ability to travel to various district sites as needed.

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