HR Data Scientist Analyst


Job Overview

The HR Data Science Analyst implements advanced analytics models and solutions to yield predictive and prescriptive insights from data. He/She works with a team responsible to research and implement advanced analytic models. This position leverages industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions. The HR Data Science Analyst builds and runs models designed to solve business problems. Responsibilities and Duties Develops data features that will serve as inputs to AI/Machine Learning/OR techniques Writes code using SQL and R/Python/Scala to collect and manipulate data from multiple data sources Explores data to determine correlation of data to domain classification or regression problem Assists with the development of procedures to monitor model and production system performance/integrity Helps to identify opportunities to move from predictive to prescriptive analytics to more quickly turn data into results that support data-driven decisions Leverages analytics and visualization tools to design and present information to drive fact-based decision making Demonstrates visualization techniques and supports training to encourage adoption of visualization tools Creates impactful visualizations for internal publication to facilitate communication Reviews visualizations for data accuracy and integrity to meet business standards Develops analytical reports and represents large, complex sets of data and associated solutions to support business objectives Knowledge and Skills Identifies current and future needs of the customer or business; understands how business needs dictate the projects requirements, project direction, business objectives, and resource allocation; makes recommendations on the solutions-design phase of the project Identifies the business problem that requires research; identifies sources of information that are relevant to a problem; reviews literature and data related to the research question; summarizes information from data sources Demonstrates a basic understanding of a business problem; recommends a solution to solve the business problem Participates in evaluation of emerging industry technologies. Understands technologies’ impact on current IT architectures and infrastructures Captures and disseminates technical and business information. Facilitates the business change decision-making processes and the planning and implementation of change Demonstrates an understanding of basic project planning processes, including planning action items and resources Demonstrates a basic knowledge of risk management fundamentals Demonstrates some advanced knowledge of statistical analyses, sampling, and tests; demonstrates the ability to identify outliers in data sets; troubleshoots existing statistical models; demonstrates basic knowledge of time series analysis Workday knowledge and experience Master’s Degree (or internationally comparable degree) in Data Science, Analytics, Operations Research, Mathematics or Statistics – Preferred UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by lawHR Data Scientist Analyst 1

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