Data Scientist, Talent Analytics- The Data Scientist, utilizes advanced statistical methods to make data driven business recommendations. In this role you will use creativity, perform research, and collaborate on new ways to use Ross data with your HR and business partners to improve our operations.
The Data Scientist will design and maintain/automate a suite of databases, business-facing reports, and conduct analytics projects centered on the Ross Buying Office associates for the Workforce Strategy & Analytics team and our business partners. Responsibilities include: Sustain and refresh the Integrated-People-Facts (IPF) data for the Buying Offices on a monthly basis; prioritize & build IPF enhancements; design, test, and then consistently deliver monthly reports and other key outputs to HR and business partners (e.g., monthly turnover reports, HR scorecards, feeds to other systems and processes); support advanced research projects into key talent and business questions (e.g., what early warning signals are predictive of future quits).
- Support and expand department’s relationship with business and other partners.
- Design, create, and conduct research studies of associate data to create insights about key workforce outcomes (e.g. what are the key early warning signs of future associate turnover)
- Complete ad hoc projects, as assigned.
- Design, create, and maintain/automate a comprehensive suite of data bases describing employees, organizational structures, business metrics, and related topics
- Collaborate with business and HR partners to design reports and then assist them with understanding key talent insights and develop action plans through effective communication (e.g., how much did the associate turnover rate change? Why? What interventions can we action on going forward?)
- Develop new and continuously strive to improve data scope, quality, and algorithms for business problems related to budgeting, organizational structure, staffing, talent development, and retention.
- Design, create, and maintain/automate a suite of monthly reports for HR and business leader use that clearly and persuasively communicate key information on a timely basis
- Proficient in Microsoft Excel, Word and PowerPoint
- Ability to work well under the pressure of deadlines, with flexibility to adjust to changing priorities
- Strong communication skills (both oral and written)
- Ability to exercise independent judgment and problem-solving skills
- Ability to work independently, and manage complex workflows
Qualification & Experience:
- 5-8 years of experience in a professional work setting (e.g., consulting or talent analytics role preferred; not required), or equivalent research experience in a master’s or Ph.D. program
- Experience with large structured database systems (e.g., SAP, Peoplesoft, Business reporting systems, etc.) and unstructured data management techniques
- BA / BS required (Master’s preferred in an applied quantitative or social science discipline, such as Marketing, Psychology, Economics, Sociology, Anthropology, Political Science, Demography or similar)
- Experience with one of R-markdown, Tableau, Power BI, QlikView, sophisticated Excel charts/graphs, or equivalent. (Power BI preferred)
- Experience with applying multivariate statistical techniques, and other advanced analysis approaches
- Proficient experience with one of SQL, R, Python, Java, Visual Basic, C++, SPSS, SAS, Stata, MATLAB, etc. (R preferred)
Vacancy Type: Full Time
Job Location: New York, NY, US
Application Deadline: N/A