Hiring.Camp

Business Data Scientist

UPS

·

5 days ago

Location
US - UPS CORPORATE OFFICES (GACOR), United States of America
Type
Full-time
Department
Education
Education
PhD
Visa
Not sponsored
Source
Workday

Description

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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

Job Description:

UPS US Marketing is looking for a talented and driven Business 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 data analysis 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 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
  • Understand the application of advanced analytics to solve complex business problems

Qualifications

  • MS in a quantitative discipline and 2+ years of relevant work experience or Ph.D in a STEM field
  • Proficiency in Python and SQL
  • Experience in applied statistics and analytics utilizing programming languages (Ex: Python or R)
  • Proficient in cloud computing using Azure and Google cloud environments
  • Proficient in data concepts and transformation methods
  • Effective presentation skills utilizing PowerPoint and visualization methods to explain complex concepts
  • Experience in reporting and analytics using dashboards (PowerBI, Tableau, Looker, etc.)

Bonus Qualifications

  • Experience with pricing methodologies and revenue management
  • Experience using PySpark, Azure Databricks, Google Bigquery and Vertex AI
  • Creating and implementing AI and GenAI based projects
  • Familiarity with Data architecture and engineering

Employer will not sponsor a visa for this position.  Must be currently in the same geographic location as the job or willing to relocate yourself.

Job Grade- 20G

Last day to apply internally- 4/22/26 @ 11:59am EST

Employee Type:

Permanent

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Other Criteria:

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 law.

Basic Qualifications:

Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.

Skills

PythonGoRAzureSQLDatabricksBigQueryTableauLooker

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