数据科学家，M-Powering 教师辅导
Data Scientist, M-Powering Teacher Coaching
职位概述：
在哈佛大学教育政策研究中心（CEPR），我们的使命是通过高质量证据的力量来改变教育。我们认为，如果我们要显著改善所有儿童的教育成果，证据必须发挥关键作用。
CEPR的数学教学与教师学习团队为教师和教练提供数学相关的专业发展支持，以帮助提升数学教学水平。我们当前资助的研究项目旨在开发和测试一个扩展的数学专项教练培训计划（M-Powering Teacher Coaching），该计划使用机器学习的自动反馈和AI增强的教练工具。数据科学家将参与这一项目以及其他将严谨的教育研究与教师、教学教练和教育领导者实用工具相结合的研究项目。该职位将负责监督、管理和领导复杂数据集的分析和应用，并为将研究见解整合到创新教育工具和前沿产品中做出贡献。他们将加入由首席研究员Heather Hill领导的团队，并与高等教育研究机构、专业学习组织、课程提供商以及企业级AI公司合作。
职位特定职责：
数据科学家的主要职责包括：
数据与研究基础设施：
- 对结构化和非结构化数据（例如视频、音频、文本）进行整理、清洗和准备，用于AI建模和分析。
- 开发并记录代码手册、标注协议、数据字典和其他研究流程。
- 构建并记录可重复的数据处理、标注、统计分析和建模工作流程。
- 支持版本控制、代码审查、数据安全和可重复研究的共享实践。
- 维护有序的项目文件、代码仓库、数据文档和分析记录。
- 分析与测量开发
- 在专注于教学、教学指导、课程和教育中人工智能的资助项目中开展数据科学工作。
- 根据需要应用统计学、机器学习、自然语言处理和生成式AI方法。
- 协调并执行与教学、指导、课程实施和教师学习相关的自动化测量工具的开发和评估。
- 支持与可用性相关的试点研究和评估活动。
查看英文原文
Job Summary:
At the Center for Education Policy Research at Harvard University (CEPR) our mission is to transform education through the power of quality evidence. We believe that if we want to dramatically improve educational outcomes for all children, evidence must play a critical role.
The Math Teaching and Teacher Learning team at CEPR provides math-specific professional development to teachers and coaches to help improve math instruction. Our current grant-funded projects seek to develop and test an expanded math-specific coach training program (M-Powering Teacher Coaching) that uses machine-learning automated feedback and AI-enhanced coaching tools. The Data Scientist will contribute to this and other projects that connect rigorous educational research with practical tools for teachers, instructional coaches, and education leaders. This person will oversee, manage, and lead analysis and application of complex datasets, and contribute to the integration of research insights into innovative educational tools and cutting-edge products. They will be joining a team with faculty lead and Principal Investigator, Heather Hill, and collaborators at higher education research institutions, professional learning organizations, curriculum providers, and Enterprise AI firm(s).
Job-Specific Responsibilities:
Key responsibilities of the Data Scientist include:
Data and Research Infrastructure:
- Organizes, cleans, and prepares structured and unstructured data (e.g., video, audio, text) for AI modeling and analysis.
- Develops and documents codebooks, annotation protocols, data dictionaries, and other research procedures.
- Builds and documents reproducible workflows for data processing, annotation, statistical analysis, and modeling.
- Supports shared practices for version control, code review, data security, and reproducible research.
- Maintains organized project files, code repositories, data documentation, and analytic records.
Analysis and Measurement Development
- Conduct data science work across grant-funded projects focused on teaching, instructional coaching, curriculum, and artificial intelligence in education.
- Applies statistical, machine learning, natural language processing, and generative AI methods as appropriate.
- Coordinates and executes the development and evaluation of automated measures related to teaching, coaching, curriculum implementation, and teacher learning.
- Supports pilot studies and evaluation activities related to usability, implementation, coaching, and teacher experience.
Product Development and Dissemination
- Helps integrate research measures and findings into education tools and user interfaces.
- Contributes to research papers, reports, public goods, funder deliverables, and other project materials (e.g., tables, figures, visualization, presentations, and technical documentation)
Project Management and Cross-team Collaboration
- Manages timelines and deliverables across one or more grant-funded workstreams
- Collaborates with researchers, educators, software developers, and external partners such as Enterprise AI firm(s) to support project goals.
- Oversees internal working groups to deliver on tasks and milestones
Performs other duties as assigned.
Basic Qualifications
- Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, Mathematics, Education, Social Science, or a related field.
- Relevant experience, which may include professional, research, internship, or concurrent-with-baccalaureate experience in data science, statistical programming, machine learning, educational research, or a related field.
- Must have strong organizational, communication, and problem-solving skills, with the ability to work independently and collaboratively.
- Occasional travel may be required to support project meetings, trainings, pilot activities, or other research-related events.
- Candidates should submit a resume or curriculum vitae and cover letter describing their relevant experience and interest in the position.
- All candidates invited to the in-person/hybrid interview may be asked to complete a task and/or submit a sample program.
This is a full-time, one-year term appointment beginning on the date of hire, with the possibility of continuation based on funding, performance, and departmental needs.
The work arrangement is remote, subject to project and departmental needs.
Additional Qualifications and Skills:
- Master’s degree in data science, statistics, computer science, education, economics, social science, or a related field preferred.
- Experience with R, Python, Stata, or a similar programming language preferred.
- Experience with machine learning, natural language processing, generative AI, or automated scoring strongly preferred.
- Experience with data annotation, codebook development, or qualitative and quantitative coding preferred.
- Familiarity with building reproducible workflows for data cleaning, processing, analysis, or modeling preferred.
- Familiarity with version control, databases, APIs, or collaborative software development preferred.
- Experience with K-12 education data or education research is a plus.
- Experience with mathematics teaching and learning is a plus.
- Interest in improving education through responsible and evidence-based uses of artificial intelligence; commitment to equity, diversity, inclusion, and belonging.
- Appointment End Date: One year from date of hire
- Standard Hours/Schedule: 35 hours per week
- Compensation Range/Rate (including Shift Differential if applicable): $90,000 - $95,000 commensurate with experience
- Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position
- Pre-Employment Screening: Identity and Education
Work Format Details
This position has been determined by school or unit leaders that the duties and responsibilities can effectively be performed fully remotely at a non-Harvard location. Employees in fully remote positions must work all scheduled hours in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts. At the discretion of the department, fully remote employees may occasionally be required on site at a Harvard location. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.
Salary Grade and Ranges
This position is salary grade level 057. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information.
Benefits
Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:
- Generous paid time off including parental leave
- Medical, dental, and vision health insurance coverage starting on day one
- Retirement plans with university contributions
- Wellbeing and mental health resources
- Support for families and caregivers
- Professional development opportunities including tuition assistance and reimbursement
- Commuter benefits, discounts and campus perks
Learn more about these and additional benefits on our Benefits & Wellbeing Page.
EEO/Non-Discrimination Commitment Statement
Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.
By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.
Why join the Harvard Graduate School of Education?
The Harvard Graduate School of Education (HGSE) is a diverse community of learners, teachers, and employees who are passionate about changing the world through education and striving for maximum impact in the field of education.
Many choose to work at the Harvard Graduate School of Education because they believe in our mission and are excited by our vision for the future. We have a reputation as a great place to work, for our excellent leadership, and we are a strong community that values diversity. For more information about HGSE, its programs, research, and faculty, please visit: .
Originally posted on Himalayas