Data Scientist - Human Resources (Remote)
About the position Responsibilities • Promote a data-driven culture by educating cross-functional HR partners and business leaders on the value and effective usage of people analytics. • Conduct in-depth analyses using statistical methods, regressions/ML models, and other analytical techniques to uncover insights related to talent, engagement, KPI drivers, turnover, and productivity. • Support salespeople across Nordstrom stores by analyzing engagement and employee experience trends, identifying characteristics of high-performing individuals and successful departments, and maintaining salesperson scorecard KPIs and goals to drive performance and employee growth. • Design and manage interactive dashboards to encourage data-driven decision making and stakeholder self-service. • Work with peers and stakeholders to analyze employee survey results and uncover valuable insights using various analytical methods. • Develop and refine metrics tailored to unique sections of the employee lifecycle, including onboarding, internal career growth and mobility, development milestones, and turnover. • Manage time effectively to tackle ad-hoc requests while maintaining larger projects and exploratory efforts. • Identify new opportunities with pragmatic research, data science, and advanced analytics to translate into actionable recommendations that inform strategic business decisions. Requirements • Master's degree in industrial/organizational psychology, organizational behavior, social psychology, computer science, data science, data analytics, mathematics, statistics, or closely related field. • 3+ years of corporate experience in data science and analytics using SQL in a variety of RDMS environment. • Direct experience in human resources (HR)/people data analytics, employee surveys, and qualitative data analysis. • Ability to apply quantitative analysis to HR data and synthesize it into compelling narratives to influence leadership decision-making. • Strong data visualization skills with ability to build and maintain insightful dashboards. • Experience with R and SQL for querying, data manipulation, and analyses. • Experience gathering data from multiple sources (writing SQL queries, creating/editing/automating Workday reports, etc.) to triangulate for research and analysis with minimal support. • Experience in statistical analysis methodologies such as decision trees, neural networks, LLMs, clustering, factor analysis, regressions, forecasting, survival analysis, etc. • Strong consulting skills with experience in stakeholder management. • Excellent verbal and written communication skills. Benefits • Medical/Vision, Dental, Retirement and Paid Time Away • Life Insurance and Disability • Merchandise Discount and EAP Resources • 401k • PTO accruals • Holidays Apply tot his job