Enrollment Data Scientist & Econometrician

Employer
Florida Polytechnic University
Location
Florida, United States
Salary
Salary Not Specified
Posted Date
Jun 8, 2022

View more

Position Type
Faculty Positions, Business & Management, Economics, Science, Technology & Mathematics, Mathematics, Other Science & Technology, Statistics, Administrative, Business & Administrative Affairs, Chief Technology & Information Officers
Employment Type
Full Time


Located along Florida’s I-4 High Tech Corridor, Florida Poly opened its doors in August 2014 as the state’s 12th university and the only one dedicated to core subjects in Science, Technology, Engineering and Mathematics (STEM education). The non-traditional academic environment focuses on applied learning, specifically in technology and engineering. Small class sizes give faculty the opportunity to work closely with high-caliber students, and the most advanced technology, including a Supercomputer, 3D printing lab, media lab and nanotechnology lab, sets Florida Poly apart from other state universities. Florida Poly’s innovative approach to higher education allows students to learn strong fundamentals within a traditional university department structure, while giving them opportunities to apply their learning through research and projects in emerging high-tech concentrations like Cyber Security, Big Data Analytics, Machine Intelligence and more. The University partners closely with industry leading firms, and faculty members are rewarded for more than just publishing. Industry involvement, problem solving, and the commercialization of technology and research through start-ups and small businesses are encouraged.

Job Title

Enrollment Data Scientist & Econometrician

Job Description Summary

Florida’s only public university exclusively teaching science, technology, engineering, and math (STEM) is looking for exceptional candidates to serve as the Enrollment Data Scientist & Econometrician.

The enrollment data scientist & econometrician will assist enrollment operations to build forecasts and analytical reports through quantitative data mining, statistical analyses, and empirical evidence using big data sets from the institution, system, state, and national data sets. This position will empower enrollment staff with the business intelligence and technology to effectively interact with specific markets, and build targeted strategic recruitment campaigns to yield results. The position will help advance enrollment data collection, organization, modeling, and predictive design for a highly selective college admissions process that includes modifying revenue-forecasting models based. This individual will assist in all phases of student consumer research and development and include, but not be limited to, Market Demand Analyses and Forecasting, Applied Microeconomics, Applied Econometrics, Choice Architecture, Behavioral Economics, Labor Economics, Statistics, Applied Mathematics, and Marketing (such as primary market research, conjoint analysis). Building close relationships with all departments on campus, national organizations, non-profits, and industry to understand data trends, this position is part of a small team that will examine the behavioral economic ecology of college admissions specifically for math and science students within the high school and higher education landscape. A strong sense of humor and curiosity is important.

Job Description

RESPONSIBILITIES:
  • Employ statistical / microeconomics/econometrics / behavioral economics to assess and analyze student consumer data by working directly with data sources and the admissions and financial aid office.
  • Explore new data sources related to student consumers. Work with various data sources and platforms to gather data.
  • Develop analytic frameworks to support research efforts in demand forecasting to enhance the University’s capability in making strategic recruitment decisions in a public STEM university and highly competitive market environment.
  • Support the deployment of analytical tools to business partners. Maintain and enhance previously developed models and tools.
  • Execute both descriptive and inferential ad hoc requests in a timely manner.
  • Assist in communicating and presenting models and analytical results. Help staff uncover hidden opportunities using data and analytics including automation, and machine learning, and make recommendations for new metrics, techniques, and strategies to improve admissions and financial aid operations
  • Own the design, development, and maintenance of data science models, metrics, reports, analyses, dashboards, etc. to drive key business decisions.
  • Understand business and product strategies, goals, and objectives through partnerships with key stakeholders. Set the analytics roadmap to drive the goals of enrollment management.
  • Requires a technical thought leader that can dive deep into work with internal teams to design and implement next-generation, data science architectures.
  • Other duties as assigned.
KNOWLEDGE, SKILLS, AND ABILITIES:
  • Manages system projects, reports progress, and identifies and recommends solutions to potential problems
  • The position will build time series models to forecast a number of enrollment events. For example, build models to predict future applications of certain segments of the high school market; model the effects of environmental changes on promotion effectiveness with multiple regression.
  • Experience using statistical methods to determine outcome variables. The capacity to build models with knowledge of statistical packages (SPSS, Pandas, NumPy, Sklearn, R, or others) to analyze data on STEM college-going patterns, student characteristics, and correlations with campus or admissions variables (visits, AP, specific HS courses, etc.).
  • Recommends and implements process solutions to work in an efficient manner and improve student satisfaction and productivity
  • Excellent organizational skills with the ability to multi-task.
  • Self-starter, high level of initiative, detail-oriented, and ability to multi-task.
  • Strong problem formulation and problem-solving skills.
  • Strong collaboration and communications skills.
  • Strong interpersonal skills and leadership behavior
MINIMUM QUALIFICATIONS:
  • Bachelor’s degree from an accredited institution in Data Science, Economics, Computer Science, Operations Research, Statistics, Mathematics, or a related major field of study.
  • 3+ years of working experience in a quantitative field such as Economics (applied microeconomics, behavioral/applied econometrics, industrial organization, labor economics), Statistics, Applied Mathematics OR in lieu of work experience, a Ph.D. in the same fields
PREFERRED QUALIFICATIONS:
  • Master’s or Ph.D. in a quantitative field (economics, ed. psych, data science, applied microeconomics, applied econometrics, industrial organization, labor economics, statistics, or applied mathematics and/or 3-5 years of experience in data science, statistics or economics
  • Experience in Machine Learning and advanced statistical techniques
  • Skilled in statistical software packages
  • Knowledgeable in Python, Java, Scala (or similar scripting language).
  • Hands-on experience with visualization tools like Tableau.
  • Strong knowledge in Excel reporting (VLookup and pivot tables)
REQUIRED LICENSES, CERTIFICATIONS, AND/OR OTHER SPECIFIC REQUIREMENTS OF LAW:
  • Must possess a valid driver’s license.
  • This position requires a criminal background check.
  • This position is subject to federal and state privacy regulations.
APPLICATION DEADLINE DATE : The position is open until filled.

APPLICATION PROCESS : In addition to completing the online application, all Applicants are required to upload the following as an attachment to the application (preferably in PDF format):
  • Cover Letter and Resume
NORMAL WORK SCHEDULE: This position is salary exempt. The normal work schedule is Monday – Friday, 8:00 a.m.-5:00 p.m., however, occasional overtime (weekends and evenings) may be required.

TARGET HIRING SALARY: $55,390 - $69,240, commensurate with experience.

APPLICATION DEADLINE DATE: The position is open until filled.

Diversity Statement:

Florida Polytechnic University is an equal opportunity/equal access institution. It is the policy of the Board of Trustees to provide equal opportunity for employment and educational opportunities to all (including applicants for employment, employees, applicants for admission, students, and others affiliated with the University) without regard to race, color, national origin, ethnicity, sex, religion, age, disability, sexual orientation, marital status, veteran status or genetic information.

Florida Poly Benefits Information

Florida Poly qualified employees have the opportunity to take advantage of a variety of health benefits (through the State of Florida) to help meet their specific needs, as well as the needs of their family. This comprehensive coverage includes flexible spending accounts, medical and life insurance, and workers compensation.

· Health benefits are administered through People First , on behalf of the State of Florida, as pre-tax insurance plans. People First handles all new hire enrollments, coverage changes, premium administration, and dependent eligibility.

· Their Service Center is staffed Monday through Friday, from 8 a.m.–6 p.m. EST, at 1-866-663-4735.

Special Instructions Regarding Attachments:

Required attachments are listed on each posting. Please be sure to attach all required documents in the Resume/CV field before continuing through the application. Once your application has been submitted, no changes may be made and additional attachments will not be considered.

An unofficial copy of the degree/transcript is acceptable during the application process. For positions requiring a degree, the official transcripts are required upon hire.

Foreign Transcript: Transcripts issued outside of the United States require a equivalency statement from a certified transcript evaluation service verifying the degree equivalency to that of an accredited institution within the USA. This report must be attached with the application and submitted by the application deadline.

All document(s) must be received on or before the closing date of the job announcements.

This position requires a background check, which may include a level II screening as required by the Florida Statute §435.04.



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