Data Scientist

October 24

Apply Now
Logo of Common App

Common App

Higher Education • College Counseling • Admission and Enrollment • Applying to College

51 - 200

Description

• ABOUT US • Do you have a passion for higher education? • Our staff help to remove barriers and encourage students to forge their path to a better future. • Common App is a national not-for-profit organization dedicated to the pursuit of access, equity, and integrity in the college admission process. • Each year we support more than 1 million students, one-third of whom are first-generation, as they apply to our more than 900 diverse member colleges & universities using the Common App's free online application. • If you are an experienced Data Scientist professional and want to be part of a mission-driven non-profit that uses innovative technology to advance the college admission process, Common App may be a great match for you. • The Data Scientist position is charged with helping to build the organization’s evolving data analytic and research function. • Reporting to the Director of Data Science, Data Operations, the individual will be engaged with all aspects of the data operations function, including the development of internal and external-facing business intelligence products, oversight of data warehousing, and analyses and reports supporting Common App's organizational priorities and strategic initiatives. • Our organization is dedicated to reimagining college admissions to be more simple, logical, joyful, and equitable. • Additionally, we hope to expand access to more low- and middle-income students via partnerships and innovations, leverage our data and research to be a voice for equity in the admissions process, and connect students to financial aid resources, information, and opportunities. • The Data Scientist will build efficient systems, processes, and workflows to execute the data operations agenda. • They will produce and maintain ETL processes, tables, and visualizations supporting Common App’s commitment to access and equity across the organization’s functional areas. • They will also collaborate closely with our Technology Services (Data Warehousing Engineering), Product Strategy, and Data Analytics and Research teams to maximize the impact of the data warehouse. • Our organization is dedicated to reimagining college admissions to be more simple, logical, joyful, and equitable. • Additionally, we hope to expand access to more low- and middle-income students via partnerships and innovations, leverage our data and research to be a voice for equity in the admissions process, and connect students to financial aid resources, information, and opportunities.

Requirements

• Candidates must live in the United States. • Bachelors degree in quantitative social sciences discipline (e.g., Public Policy, Economics, Education Policy, Education Measurement, Psychometrics, Computational Psychology, etc.) or related quantitative field (e.g., Data Science, Statistics); or an equivalent combination of education and experience. • 4-6 years of related experience: data reporting, SQL, database architecture, ETL procedures, data analytics, data mining, data operations, and data quality. Or an equivalent combination of education and experience. • 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. • 2-4 years of related experience with data visualization (Tableau, R preferred). • 2-4 years of related experience with Atlassian tools, Git, Databricks, AWS Sagemaker, or S3. • Fluent data manipulation and coding with tools such as SQL, Python, Tableau, and R. • Passion for higher education. • Experience working with Agile frameworks for cross-functional, product-minded collaboration. • Teaching and supporting non-data experts in the use and interpretation of data.

Benefits

• Common App is a virtual first environment. • Work-Life balance • Virtual-first office • Seven company-wide holidays • Nine floating holidays* • Sick leave • Monthly mental health day • Choice of PC of MAC laptop • May choose an external monitor, keyboard, mouse, and/or headset • One-time office set-up stipend • Monthly remote work stipend • Monthly mobile stipend • Market-based salaries • Performance-based bonus • 403(b) retirement plan • 5% company contribution • additional 5% company match • 3-year vesting schedule • Participation may begin immediately • Choice of two health insurance plans • Health Savings Account, depending on health plan selection • Medical Flexible Savings Account, depending on health plan selection • Vision insurance • Dental insurance • Insurance coverage begins on the date of hire • Dependent Care Flexible Spending Account • Maven virtual clinic for women’s and family health • Company provided life and ad&d insurance • Opportunity to purchase additional life insurance for self, spouse, and dependents • Company provided short and long-term disability insurance • Budgeted annual funds for professional development • Growth opportunities within the company • Mutual of Omaha Employee Assistance Program • Mutual of Omaha will preparation services • Mutual of Omaha travel assistance • Payroll dedication pet insurance through PinPaws • 1Password family account

Apply Now

Similar Jobs

October 21

Earnest

201 - 500

Develop models for data analysis at Earnest to aid financial decisions.

October 20

Fors Marsh

201 - 500

Data Scientist at Fors Marsh supports research efforts for client needs.

October 20

Analyze data patterns at Forhyre to improve business decisions.

Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or lior@remoterocketship.com