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Learning Policy Institute Jobs in Michigan (NOW HIRING)

Eastern Michigan University

Teacher II

Ypsilanti, MI · On-site

Organize and maintain a safe, attractive, and stimulating classroom learning environment. * Support policies and goals of the Children's Institute, and participate in staff meetings, in-service ...

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See Michigan salary details

$48.4K

$84.4K

$135.1K

How much do learning policy institute jobs pay per year?

As of Aug 9, 2026, the average yearly pay for learning policy institute in Michigan is $84,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,800.00 and $100,200.00 per year, depending on experience, location, and employer.

What is the Learning Policy Institute?

The Learning Policy Institute is a non-profit, non-partisan research organization that works to improve education policy and practice. Founded in 2015, it conducts and communicates independent, high-quality research to inform education leaders and policymakers. The institute focuses on issues such as educational equity, teacher preparation, early learning, and school improvement, aiming to advance evidence-based policies that support equitable and effective learning for all students.

What types of projects can I expect to work on as a policy analyst at the Learning Policy Institute?

As a policy analyst at the Learning Policy Institute, you can expect to contribute to research-driven projects focused on improving education policy and practice. Typical responsibilities include collecting and analyzing data, drafting policy briefs and reports, and collaborating with researchers, educators, and policymakers. The work environment is highly collaborative, often involving cross-functional teams to address complex issues such as educational equity, teacher preparation, and school funding. These projects offer opportunities for professional growth through exposure to influential policy discussions and the chance to present findings to diverse audiences.

What are the key skills and qualifications needed to thrive at the Learning Policy Institute, and why are they important?

To thrive at the Learning Policy Institute, you need a solid background in education policy research, data analysis, and report writing, usually supported by an advanced degree in education, public policy, or a related field. Familiarity with statistical analysis tools (such as SPSS, Stata, or R), literature review platforms, and policy databases is often required. Excellent communication, collaboration, and critical thinking skills help you effectively convey research findings and work within multidisciplinary teams. These competencies are crucial for producing impactful, evidence-based policy recommendations that advance educational equity and quality.
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What cities in Michigan are hiring for Learning Policy Institute jobs? Cities in Michigan with the most Learning Policy Institute job openings:
Learning Policy Institute jobs near you
Infographic showing various Learning Policy Institute job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $84,387 per year, or $40.6 per hour.

Data Scientist (ARTIFICIAL INTELLIGENCE/MACHINE LEARNING)

Defense Logistics Agency

Battle Creek, MI • On-site

Full-time

Posted 3 days ago

New

Defense Logistics Agency rating

8.3

Company rating: 8.3 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

277th of 844 rated public administrative organizations

Job description

Telework Eligible

Yes

Major Duties

  • Serves as an Al (Artificial Intelligence) Testing and Evaluation Data Scientist providing subject matter Al expertise and execution to test and evaluate Al systems.
  • Provides professional and scientific expertise in the application of data science disciplines for complex studies in machine learning and deep learning algorithms, statistical analysis, visualizations, programing and computer science.
  • Provides expertise in evaluating and measuring data science and artificial intelligence systems in accordance with data science Lifecyle practices within DoD parameters.
  • Ensures Al systems are developed in accordance with applicable legal frameworks such as General Data Protection Regulation (GDPR) and National Institute of Standards and Technology (NIST).
  • Incorporates, Office of Management and Budget (0MB) test and evaluation requirements, DOD Al ethical principles into DLA Al test and evaluation framework to generate an RAI test strategy for modeling cases.
  • Utilizes expertise to coordinate the integration of the DLA Al testing and evaluation program during the product lifecycle from concept and design inception, as development proceeds, and integrated to ensure effective RAI implementation.

Qualification Summary

To qualify for a Data Scientist (Artificial Intelligence/Machine Learning), your resume and supporting documentation must support: A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. B. Specialized Experience: One year of specialized experience that equipped you with the particular competencies to successfully perform the duties of the position and is directly in or related to this position. To qualify at the GS-14 level, applicants must possess one year of specialized experience equivalent to the GS-13 level or equivalent under other pay systems in the Federal service, military, or private sector. Applicants must meet eligibility requirements including time-in-grade (General Schedule (GS) positions only), time-after­competitive appointment, minimum qualifications, and any other regulatory requirements by the cut-off/closing date of the announcement. Creditable specialized experience includes: Conducts large, agency wide, research and development reviews of metrics, measurements, and evaluation methods for emerging and existing areas of Al. Utilizes data science expertise to develop algorithms and tools to support data manipulation and processing as well as the use of data visualization techniques to articulate high risk findings. Ensures the Al systems are designed for auditability to manage Al risk assessment policies and principles which guide automated decisions supporting DLA business operations. Provides expert advice to senior leadership and Al stakeholders to adopt new or revised policy and implementation plans resulting from Al test and evaluation integration. Assesses data quality and establishes standards to validate quality criteria for data to ensure it meets the necessary requirements for Al testing and evaluation. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

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