Data Scientist: Data Operations - U.S. Based Remote Opportunity

Bachelor's degree in a quantitative social sciences discipline or related quantitative field, or equivalent combination of education and experience. 4-6 years of related experience in data reporting, SQL, database architecture, ETL procedures, data analytics, data mining, data operations, and data quality. Experience in designing and implementing data warehousing, reporting, and analytic systems. Experience working with and validating imperfect data. Experience with descriptive and inferential statistics. Experience working with National Center for Education Statistics, Census, College Scorecard, National Student Clearinghouse, Integrated Postsecondary Education Data System, and/or other publicly available datasets relevant to education. Fluent in data manipulation and coding with SQL and/or R. Understanding of the strategic context of Common Application’s role in the higher education industry. Strong interpersonal skills and service orientation. Proven ability to communicate data and research findings to non-technical audiences. Ability to work effectively in a collaborative and diverse environment. Master’s or doctorate degree in a quantitative discipline and at least one year of related experience (ideal). 2-4 years of related experience with data visualization (Tableau, R preferred) (ideal). 2-4 years of related experience with Atlassian tools, Git, Databricks, AWS Sagemaker, or S3 (ideal). Fluent data manipulation and coding with tools such as SQL, Python, Tableau, and R (ideal). Experience working with Agile frameworks for cross-functional, product-minded collaboration (ideal). Teaching and supporting non-data experts in the use and interpretation of data (ideal). A passion for higher education is a plus.

Help build the organization’s evolving data analytic and research function. Engage with all aspects of the data operations function. Develop internal and external-facing business intelligence products. Oversee data warehousing. Produce analyses and reports supporting organizational priorities and strategic initiatives. Build efficient systems, processes, and workflows. Produce and maintain ETL processes, tables, and visualizations. Collaborate with Technology Services, Product Strategy, and Data Analytics and Research teams.