Data Scientist- Pytorch/ Tensorflow

UPS

Not specified (assumed hybrid based on industry standards)
Pytorch and tensorflow model development
Python, r, and sql expertise
Cloud-ai technologies implementation
UPS is seeking a Data Scientist proficient in Pytorch and TensorFlow to develop and implement advanced analytics models that provide predictive and prescriptive insights from large datasets. The ideal candidate will possess strong analytical skills, experience with machine learning techniques, and the ability to communicate complex data findings effectively

Job Summary

  • This position creates and implements advanced analytics models to yield predictive and prescriptive insights from large volumes of data.
  • The role leverages emerging tools in On-prem and Cloud environments to transform data requirements into operationalized predictive solutions.
  • Candidates must be able to engage executive stakeholders to translate business problems into high-level analytics solution approaches.

Matching Summary

Match Score: 85

UPS is seeking a Data Scientist proficient in Pytorch and TensorFlow to develop and implement advanced analytics models that provide predictive and prescriptive insights from large datasets. The ideal candidate will possess strong analytical skills, experience with machine learning techniques, and the ability to communicate complex data findings effectively.

Skills & Requirements

Must-have

  • PyTorch and TensorFlow model development
  • Python, R, and SQL expertise
  • Cloud-AI technologies implementation
  • Statistical modeling and machine learning
  • Data pipeline design and validation

Nice-to-have

  • Java or C++ familiarity
  • Enterprise data science platforms
  • Linux/Unix and Windows environments
  • Story framework for data communication
  • Open-source technology integration

Key Requirements

  • Master's Degree in quantitative field
  • Experience launching moderate scale projects at production scale
  • Full lifecycle data science problem solving capability

Work Rights

Not specified

Tailored Resume

Cover Letter