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Data Scientist

Job Description

UPS Capital (UPSC), one of the fastest growing subsidiaries within UPS offers opportunities for career development, mastering your craft, and virtually limitless professional growth. Business Intelligence and Analytics (BIA) department at UPS Capital delivers analytical information and insights for enhancing UPS Capital’s marketplace competitiveness and supporting growth initiatives and is looking for a Data Scientist to join their team.


The UPSC BIA Data Scientist will apply predictive and prescriptive analytics models on organization’s internal and external data to derive actionable insights for the growth of UPS Capital’s risk mitigation and insurance business. As a key member of a growing advanced analytics team, he/she will operate in a fast-paced environment and take on multiple roles. He/She will have access to large volumes of structured and unstructured data as well as the ability to allocate vast computing resources, including GPU’s, to speed up work. He/She will investigate, join, and analyze disparate and large data sets to build risk management analytics solutions that have direct impact to UPS Capital and its customers. He/She will also apply Statistical Theory, Machine Learning (ML) algorithms and Artificial Intelligence (Al) techniques to build UPS Capital’s risk mitigation solutions, enhance customer experience, and grow customers.


This position will have the opportunity to research and experiment with innovative new techniques in machine learning, statistics, and operations research. He/She will have the freedom to attend conferences and training sessions, and collaborate with partner universities, to further skillset. The selected candidate will primarily serve in an individual contributor role with a focus on hands-on technical work. He/She may be asked to take on non-technical assignments such as business requirements gathering.


Responsibilities and Duties


  • Provides expertise on computational, quantitative, and algorithmic techniques applicable to data science

  • Performs data wrangling, ETL, and data exploration tasks

  • Builds predictive and prescriptive models, algorithms, and simulations

  • Collaborates with cross-functional teams of data scientists, data engineers, application developers, etc. to deliver measurable outcomes

  • Identifies and champions new initiatives aimed at delivering value to business stakeholders

  • Manages multiple work streams while proactively responding to competing demands

  • Evaluates open-source and vendor-based tools, such as applications, platforms, frameworks and programming languages


Knowledge and Skills


  • Passion for building analytical solutions to answer business questions and improve business processes

  • 2+ years' industry experience in a technical role, preferably in a data science capacity

  • Intermediate knowledge of R or Python

  • Knowledge of Generalized Linear and Non-Linear Models, Time Series Analysis, Random Forest, Gradient Boosted Machines, Neural Networks, Unsupervised Methods (Dimensionality Reduction, Clustering, etc.) knowledge

  • Experience querying relational data systems for ETL and data integration tasks

  • Good communications skills with ability to present to technical and business audiences

  • Experience using Spark/Hadoop systems for distributed analytics and data processing

  • Knowledge of Natural Language Processing & Text Mining, Experimental Design, Computer Vision & Image Processing, Bayesian Networks, Reinforcement Learning, Collaborative Filtering, Network/Graph Mining, Combinatorial Optimization, Linear & Mixed-Integer Programming and Discrete-Event & Stochastic Simulation - Preferred

  • Knowledge of H2O.ai and TensorFlow - Preferred

  • Familiarity with scaling and operationalizing data science models in production settings - Preferred

  • Experience working in a cloud-computing environment such as AWS, Azure, GCP, etc. - Preferred

  • Prior exposure to the transportation or logistics industry - Preferred

  • Master's Degree in quantitative or computational field such as Statistics, Operations Research, Computer Science, Physics, Engineering, Mathematics, Economics, or related discipline - Preferred

  • PhD - 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 law

Job Requirements

 

Job Snapshot

Location US-GA-Atlanta
Employment Type Full-Time Employee
Pay Type Year
Pay Rate N/A
Store Type Other
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Company Overview

UPS

A position in Business Management or Corporate is a true showcase of your natural leadership, planning and organizational skills to a global audience. From communications and consulting to human resources and risk management, your unique talents keep UPS and its customers moving forward. Learn More

Contact Information

US-GA-Atlanta
Snapshot
UPS
Company:
US-GA-Atlanta
Location:
Full-Time Employee
Employment Type:
Year
Pay Type:
N/A
Pay Rate:
Other
Store Type:

Job Description

UPS Capital (UPSC), one of the fastest growing subsidiaries within UPS offers opportunities for career development, mastering your craft, and virtually limitless professional growth. Business Intelligence and Analytics (BIA) department at UPS Capital delivers analytical information and insights for enhancing UPS Capital’s marketplace competitiveness and supporting growth initiatives and is looking for a Data Scientist to join their team.


The UPSC BIA Data Scientist will apply predictive and prescriptive analytics models on organization’s internal and external data to derive actionable insights for the growth of UPS Capital’s risk mitigation and insurance business. As a key member of a growing advanced analytics team, he/she will operate in a fast-paced environment and take on multiple roles. He/She will have access to large volumes of structured and unstructured data as well as the ability to allocate vast computing resources, including GPU’s, to speed up work. He/She will investigate, join, and analyze disparate and large data sets to build risk management analytics solutions that have direct impact to UPS Capital and its customers. He/She will also apply Statistical Theory, Machine Learning (ML) algorithms and Artificial Intelligence (Al) techniques to build UPS Capital’s risk mitigation solutions, enhance customer experience, and grow customers.


This position will have the opportunity to research and experiment with innovative new techniques in machine learning, statistics, and operations research. He/She will have the freedom to attend conferences and training sessions, and collaborate with partner universities, to further skillset. The selected candidate will primarily serve in an individual contributor role with a focus on hands-on technical work. He/She may be asked to take on non-technical assignments such as business requirements gathering.


Responsibilities and Duties


  • Provides expertise on computational, quantitative, and algorithmic techniques applicable to data science

  • Performs data wrangling, ETL, and data exploration tasks

  • Builds predictive and prescriptive models, algorithms, and simulations

  • Collaborates with cross-functional teams of data scientists, data engineers, application developers, etc. to deliver measurable outcomes

  • Identifies and champions new initiatives aimed at delivering value to business stakeholders

  • Manages multiple work streams while proactively responding to competing demands

  • Evaluates open-source and vendor-based tools, such as applications, platforms, frameworks and programming languages


Knowledge and Skills


  • Passion for building analytical solutions to answer business questions and improve business processes

  • 2+ years' industry experience in a technical role, preferably in a data science capacity

  • Intermediate knowledge of R or Python

  • Knowledge of Generalized Linear and Non-Linear Models, Time Series Analysis, Random Forest, Gradient Boosted Machines, Neural Networks, Unsupervised Methods (Dimensionality Reduction, Clustering, etc.) knowledge

  • Experience querying relational data systems for ETL and data integration tasks

  • Good communications skills with ability to present to technical and business audiences

  • Experience using Spark/Hadoop systems for distributed analytics and data processing

  • Knowledge of Natural Language Processing & Text Mining, Experimental Design, Computer Vision & Image Processing, Bayesian Networks, Reinforcement Learning, Collaborative Filtering, Network/Graph Mining, Combinatorial Optimization, Linear & Mixed-Integer Programming and Discrete-Event & Stochastic Simulation - Preferred

  • Knowledge of H2O.ai and TensorFlow - Preferred

  • Familiarity with scaling and operationalizing data science models in production settings - Preferred

  • Experience working in a cloud-computing environment such as AWS, Azure, GCP, etc. - Preferred

  • Prior exposure to the transportation or logistics industry - Preferred

  • Master's Degree in quantitative or computational field such as Statistics, Operations Research, Computer Science, Physics, Engineering, Mathematics, Economics, or related discipline - Preferred

  • PhD - 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 law

Job Requirements

 
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