Data Scientist, People Analytics (Job ID 2116056)
Categories Human Resources, Corporate
KEY ACCOUNTABILITIES include the following. To perform this job successfully, the Data Scientist, People Analytics may be expected to perform special projects and other duties as requested.
●Seek to understand people-related business problems and help frame them into actual research questions that can be answered with data.
●Bring together our organization’s data, as well as external data and research, to help our business leaders understand and act on people issues.
●Translate data and insights into meaningful visualizations and stories to drive strategy, action, and decision-making at executive levels, within HR, and with people managers.
●Deliver strong customer service including translation of requests into requirements and communication of technical information to a non-technical audience.
●Use platforms, programming, and systems to establish single-source data to be leveraged across the business to support insights and improved decision-making.
●Lead data-driven and evidence-based research to support the delivery of people metrics, reporting, and advanced and predictive analytics.
●Align research priorities with business priorities and take a customer-focused mindset in working with stakeholders.
●Leverage expertise and knowledge of HR industry and people analytics trends to address practical business challenges.
●Collaborate with and communicate broadly within the People Analytics team, HR, and the business in a cross-functional effort with key stakeholders to identify key initiatives and execute delivery of sustainable solutions to expand our data universe.
●Exercise traits of adaptability and good judgment to support organizational agility.
●Be a constant learner, active listener, and teacher to advance data science, people analytics, and our organization.
●Exude passion for your field, people analytics, and our organization both internally and externally to establish us as thoughtful and effective use of data and people analytics.
●Experience in research design, visualization techniques, and analysis approaches in which you manage and analyze both structured and unstructured data.
●Experience in advanced statistical methods around hypothesis testing, clustering, machine learning predictions, and text mining.
●Experience modeling high-dimensional data.
●Experience with tools and languages such as SQL, R, Python, Tableau, and in the design and implementation of data pipelines that support the continuous delivery of insight.
●Understanding of the external people analytics landscape and trends.
●Ideally experience with people research, the human capital domain, user interface, consulting, and our industry.
●Experience in applying data privacy regulations and navigating how to effectively use data while protecting an individual’s privacy.
●Experience in thriving in project environments that often start with uncertain requirements or outcomes; ability to apply definition and structure around uncertain problems.
●Experience working in a fast-paced, dynamic and entrepreneurial environment and the versatility to manage multiple projects, priorities, and urgent issues successfully and simultaneously
●Experience in positively interacting with people of opposing thoughts and ideas within a team environment.
●Four (4) year degree or equivalent experience required in either Analytics, Mathematics, Operations or Computer Science, Statistics, or similar highly quantitative degree.
•3+ year’s directly applicable experience in data modeling and data tools and languages such as Python required.