Senior Data Scientist - US Based Remote Opportunity
Arlington, Virginia, United States - Remote
ABOUT US
Do you have a passion for higher education? Do you want to make a positive impact on the college admissions process? 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 nearly 1100 diverse member colleges & universities using the Common App's free online application.
If you are an experienced Senior 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. Common App is currently searching for a Senior Data Scientist.
RESPONSIBILITIES
The Senior Data Scientist position is charged with helping to build the organization’s evolving research and analytic function. Reporting to the Director of Data Science, Analytics and Research, the individual will be engaged with all aspects of the research function, including the production of externally facing research products, management of external research partnerships, and applied research in support of data-informed Common App initiatives.
The Senior Data Scientist will apply advanced training and experience in data science, research methodology, and data visualization to execute the research agenda and deploy products that support Common App’s commitment to access and equity across the organization’s functional areas. They will also collaborate closely with our Communications and Leadership teams to maximize the impact of our public- and constituent-facing research products, supporting strategic engagement with other thought leaders, media, and other constituents.
Requirements
QUALIFICATIONS
This role requires:
- Candidates must live in the United States.
- Bachelor’s degree in a 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)
- At least 5-8 years related experience in data analysis, data communication and/or visualization, data analytics, data science, or descriptive and/or causal quantitative social science research.
- 2+ years of experience working more specifically in data analysis, data science, or social science research in the field of higher education, secondary education, economics of education, and/or education policy.
- Fluent data manipulation and coding with SQL and R.
- Experience working with and validating imperfect data.
- Experience managing analyses for …
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Candidates must live in the United States Must live in the United States
Benefits/Perks403b retirement plan Company-wide holidays Competitive salary Extensive benefits package Financial Security Flexible Spending Account Floating Holidays Health savings account Mobile stipend Monthly mental health day Office set-up stipend Paid Time Off Performance-based bonus Remote work stipend Sick Leave Virtual first environment Virtual-first office Virtual-first support Work-life balance
Tasks- Collaborate with teams
- Communicate findings
Agile Analysis AWS Cloud Computing Communication Data analysis Data communication Data Science Data Visualization Interpersonal Leadership Payroll Project Management Quantitative research R Reporting S3 SQL Statistics Tableau
Experience5-8 years
EducationBachelor's degree Business Communications Data Science Economics Higher Education Statistics
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9