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Job Description:
Job Summary
UPS Marketing team is looking for a talented and driven Data Scientist to drive its strategic objectives in the areas of pricing, revenue management, market analysis and evidence/data-based decision making. This role will work across multiple channels and teams to drive tangible results in the organization. You will focus on developing metrics for multiple channels and markets, applying advanced statistical modeling where appropriate and pioneering new analytical methods in a variety of fast paced and rapidly evolving consumer channels. This high visibility position will work with multiple levels of the organization, including senior leadership to bring analytical capabilities to the forefront of pricing, rate setting, and optimization of our go-to-market offers. You will contribute to rapidly evolving UPS Marketing analytical capabilities by working amongst a collaborative team of Data Scientists, Analysts and multiple business stakeholders.
Responsibilities:
Become a subject matter expert on UPS business processes, data and analytical capabilities to help define and solve business needs using data and advanced statistical methods
Analyze and extract insights from large-scale structured and unstructured data utilizing multiple platforms and tools.
Understand and apply appropriate methods for cleaning and transforming data
Work across multiple stake holders to develop, maintain and improve models in production
Take the initiative to create and execute analyses in a proactive manner
Deliver complex analytical and visualizations to broader audiences including upper management and executives
Deliver analytics and insights to support strategic decision making
Understand the application of AI/ML when appropriate to solve complex business problems
Qualifications
Expertise in R, SQL, Python.
Strong analytical skills and attention to detail.
Able to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach.
Expertise with statistical techniques, machine learning or operations research and their application in business applications.
Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production at scale.
Proficient in Azure, Google Cloud environment
Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.
Solid oral and written communication skills, especially around analytical concepts and methods.
Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience.
Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
Bonus Qualifications
Experience with pricing methodologies and revenue management
Experience using PySpark, Azure Databricks, Google BigQuery and Vertex AI
Creating and implementing NLP/LLM projects
Experience utilizing and applying neurals networks and other AI methodologies
Familiarity with Data architecture and engineering
Employee Type:
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.