Data Scientist

Reach University•,

5d•$70,000 - $90,000•Remote

About The Position

The Data Scientist will support the University to make data-informed decisions by transforming and combining information housed in disparate systems. These new datasets will allow for the creation of visualizations and make more thorough analysis for the data possible.

Requirements

BA or higher in Data Science, Economics, or related field
3-5 years of experience in applied analytics or institutional research
Strong proficiency in Python (e.g., pandas, scikit-learn, tidyverse)
Experience with BI tools (Domo, Tableau, or Power BI)
Familiarity with ETL workflows and SQL-based querying
Excellent analytical, communication, and storytelling skills
Curiosity - we learn rapidly and eagerly
Ability to work effectively on multiple concurrent projects

Nice To Haves

Experience in higher education, labor market, or workforce analytics

Responsibilities

Collaborate with IT to document the flow of Institutional Research-relevant data throughout the ecosystem (SIS: Sonis, CRM: Element451, LMS: Canvas)
Produce datasets needed to make informed decisions and to create visualizations
Collaborate with the Data Engineer to automate data flows where possible
Conduct exploratory data analysis (EDA) and identify key performance indicators across datasets
Communicate results through reports, visualizations, and presentations accessible to non-technical audiences
Work with departments on standardize data across systems
Validate data coming into ETL pipelines for accuracy
Provide data quality training to those inputting data into systems as necessary
Works closely with IT, the Office of the Registrar, Admissions, Growth and Employer Success, the Office of the President, the Office of Continuous Improvement
May support or guide the Institutional Research Assistant
Participates in daily stand ups, weekly team meetings, planning sessions, and project check-ins