Common App

Data Scientist – Data Operations

Common App

full-time

Posted on:

Location Type: Remote

Location: Remote • Virginia • 🇺🇸 United States

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Salary

💰 $95,000 - $99,134 per year

Job Level

Mid-LevelSenior

Tech Stack

AWSETLPythonSQLTableau

About the role

  • 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.
  • 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.

Requirements

  • Candidates must live in the United States.
  • Willing to travel to attend twice annual Common App Retreat.
  • 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.
  • Experience working with Agile frameworks for cross-functional, product-minded collaboration.
  • Teaching and supporting non-data experts in the use and interpretation of data.
  • A passion for higher education is a plus.
Benefits
  • Work-Life balance
  • Virtual-first office
  • Paid Time Off (PTO)
  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data reportingSQLdatabase architectureETL proceduresdata analyticsdata miningdata qualitydescriptive statisticsinferential statisticsdata visualization
Soft skills
interpersonal skillsservice orientationcommunicationcollaborationdiversity awareness
Certifications
Bachelor's degreeMaster's degreeDoctorate degree