The Shipley School, founded in 1894, is a co-educational, college preparatory, independent day school currently enrolling 835 students in grades Pre-K through 12. Located in the western suburbs of Philadelphia, the school is committed to educational excellence and dedicated to developing in each student a love of learning and compassionate participation in the world.
The Shipley School is committed to equal employment opportunities for all individuals. Based on receipt of federal financial assistance through a Paycheck Protection Program loan administered through the U.S. Small Business Administration (SBA) under the CARES Act, the School acknowledges its obligation to prohibit discrimination, harassment, or retaliation on the basis of race, color, religion, age, national origin, sex, citizenship status, genetic information, handicap or disability in admissions, access, employment, tuition assistance, educational policies, or other school administered student and employee programs and activities. Questions regarding the School's compliance with the application and administration of the School's nondiscrimination policies should be directed to Title IX Compliance Officer or the Section 504 Compliance Officer at, 814 Yarrow Street, Bryn Mawr, Pennsylvania 19010, or to the U.S. Department of Education's Office for Civil Rights (OCR) or to the SBA. Please refer to the School's SBA Non-Discrimination Compliance Policy on the School's website for information on how to file complaints with OCR or the SBA.
This position (year-round) is designed to help advance Shipley's goal of becoming a secondary school leader in data science. This is a new position which will be critical to the creation of an integrated process to improve the School's operations (e.g., Development, Enrollment, Marketing, and Academic Program) using predictive analytics. This process is an iterative cycle which includes posing questions, gathering information, analyzing data to make informed decisions, presenting and explaining findings, and making adjustments in operations strategies and tactics to address those findings. The Coordinator reports to the Assistant Head of School for Community Engagement and works closely with a team of data professionals, including the Coordinator of Educational Research.
Partner with colleagues on strategies for using evidence to inform decision making to provide a world class customer experience over the customer lifecycle (prospective customer through alumni).
Responsibilities will include (but are not limited to) data coding and analysis, web scraping, survey data collection, conducting pilot interviews and exit polls, and reviewing relevant research.
Support others in the School (Development, Enrollment/Admissions, Marketing, Director of Educational Research), to increase efficiency and drive revenue using predictive analytics.
Provide statistical, informational and administrative support to the various departments at the School using existing databases, reports, or other data.
Identify information needs and collect, analyze, interpret, and share data/information/evidence related directly to School operations (including Development, Enrollment, Marketing, Academic Program).
Conduct research and produce reports in support of development, enrollment, and marketing.
Serve as an internal consultant to various departments in the School.
Project management: maintain a project board of ongoing data-related projects; serve as both lead and support managing projects (depending on the project).
Support a culture and processes built around the possibilities of evidence-informed decision making.
Perform other duties as assigned.
Use predictive analytics for financial decisions or enrollment decisions.
Work with Alumni Relations and Development to develop additional tools to identify and target prospective donors.
Research and help deploy AI informed tools to enhance community engagement (e.g., track parent/guardian engagement at events).
Qualifications (Required Skills):
Bachelor's Degree required, Master's degree or Ph.D. preferred.
Minimum of 1-2 years of relevant experience and interest in education or equivalent combination of education and experience is required.
Demonstrated experience in all phases of managing data science projects including: problem definition, solution formulation, model building, productionizing, and delivering measurable impact.
Familiarity with data analysis and statistical tools (e.g. Python, R, SAS, Matlab or SPSS).
Knowledge and experience in at least three of the following areas: machine learning, data mining, user modeling, information retrieval (interrogation of log files and very large databases), economic modeling, econometrics, game theory, statistics, research methods, data analysis, e-metrics/measurement.
Ability to communicate technical information to broad a range of community members.
Excellent writing and communication skills.
Ability to read, analyze, and interpret common scientific and technical journals, financial reports, and legal documents.
Exceptional organizational skills; ability to conduct multiple concurrent projects and meet deadlines.
Experience with quantitative and qualitative research design, instrument design, implementation, and analysis.
Experience writing survey research questionnaires a plus.
Flexible and independent thinking, self-organizing, and the ability to self-motivate.
Desire to collaborate and problem solve as part of a team.
Desire to be part of a learning organization; desire to adapt to new tools, learn new software and refine workflows to work smart and efficiently.
Ability to understand, respect, and support a diverse environment inclusive of students, colleagues, and families of varying social economic, cultural, ideological and ethnic backgrounds required.
Interested candidates should complete the online application. Upload your resume, cover letter, and all valid background clearances (PA Criminal History, PA Child Abuse, and FBI Fingerprint reports) in the resume section of the application. No phone calls, please.