The Office of Advancement's Data Science team delivers wisdom in data by interacting with partners to translate problems into analytical solutions. The team delivers advanced solutions utilizing a variety of data sources and types to craft compelling and scalable advanced analytical and machine learning products that increase awareness, engagement, advocacy, and fundraising results for the university.
The Data Scientist works with analytic and business partners in a multi-faceted environment combining higher education, fundraising, engagement, and marketing to develop strategy and deliver actionable, data-driven insights and solutions. They conceptualize and create analytic strategies for complex issues, design flexible and reusable analytic tools and models, manage multiple projects simultaneously, operationalize their findings and models, translate work products into meaningful guidance, develop and deliver presentations and data visualizations, and communicate effectively with business partners.
This position serves as a technical contributor for advanced data analytics initiatives, creating value to leadership by compiling and analyzing business data from within Advancement and the university using our CRM, digital engagement platforms and other internal and external sources to provide a 360-degree view of our constituents. They are responsible for generating solutions to existing business challenges and studying the business to ask (and answer) questions nobody has asked before.
Reporting to the Associate Director, the Data Scientist is expected to be a strong technician who keeps abreast of current practices and trends and is able to translate technical jargon in a professional manner when working with and presenting recommendations to a diverse group of business partners and clients. This position must exhibit agility when competing and/or shifting priorities exist. They must demonstrate a desire to create business value over all else, even when the competitor is statistical elegance. Conversely, they show continual improvement of theoretical and applied skills with evidence of a desire to continue technical learning and growth, both as a statistician and a business professional.
All members of Advancement are part of creating an inclusive culture that inspires an exceptionally diverse and talented team and are measured on their adherence to the following core competencies: leadership, continuous improvement, teamwork and collaboration, and communication/interpersonal effectiveness.
-Bachelor's degree in Data Science, Data Analytics, Statistics, Applied Math, Computer Science, Computer Information Systems or Management Information Systems, Marketing, or Psychology preferred; -Five years of analytics or data science experience in a business environment to include at least three years of experience building, validating, and leveraging machine learning models and at least two years of experience analyzing and synthesizing data and presenting useable insights and recommending courses of action; -Proficiency in modern analytics programming languages, like R and/or Python, as well as data extraction, manipulation, and programming using SQL; -Strong foundational knowledge statistics/applied mathematics leveraged in a business or marketing setting; -Proven success translating ambiguous business problems into a conceptual analytical and technical architecture; -Strong skills manipulating missing/corrupt/unstructured data from multiple data sources to deliver key insights.
-Advanced degree in Data Science, Statistics, Business, Computer Science, Economics, Engineering, Mathematics or other quantitative disciplines; -Two years of experience visualizing and presenting data for stakeholders using advanced data visualization tools like Tableau, D3 or Shiny, etc.; -Experimental test design experience; -Experience with natural language processing; -Knowledge of full life cycle development for advanced analytic projects including experience using agile frameworks; -Experience working with digital analytics data and projects; -Experience migrating statistical models into production environments and/or integrating advanced analytics into production processes; -Understanding of enterprise data warehouse, big data, cloud, BI & analytics, content management, and data management; -Experience in the higher education or non-profit fundraising space.
Target Salary: $90,000.00 - $105,000.00 Annually
Job Category: Information Technology (IT)
Job Appointment (FTE%):
The Ohio State University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or identity, national origin, disability status, and protected veteran status.
The Ohio State University is a dynamic community of diverse resources, where opportunity thrives and where individuals transform themselves and the world. Founded in 1870, Ohio State is a world-class public research university and the leading comprehensive teaching and research institution in the state of Ohio. With more than 63,000 students (including 57,000 in Columbus), the Wexner Medical Center, 14 colleges, 80 centers and 175 majors, the university offers its students tremendous breadth and depth of opportunity in the liberal arts, the sciences and the professions.