We’re the obstacle overcomers, the problem get-arounders. From figuring it out to getting it done… our innovative culture demands “yes and how!” We are UPS. We are the United Problem Solvers.
About Information Management at UPS Technology:
Our Information Management teams are responsible for designing and supporting data solutions to meet UPS’s rapidly changing business needs. Our team is comprised of individuals who are experts in data management, compliance and governance. We ensure quality, completeness, availability, protection, understanding and effective use of our data assets. Our ability to organize and design data provides the foundation which enables many of UPS’ core processes.
About this role:
The Data Scientist will leverage advanced analytics to solve some of the most interesting business problems across the UPS enterprise. As a key member of a growing global 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. The candidate will employ tools and applications that can fast-track manual steps such as ETL, data exploration, etc. He/she will have the opportunity to research and experiment with innovative new techniques in machine learning, statistics, and operations research. The candidate 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. However, he/she may be asked to take on non-technical assignments such as business requirements gathering.
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 champion 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
Master's degree in statistics, operations research, computer science, physics or related discipline
2+ years of industry experience in a technical role, preferably in a data science capacity
Intermediate knowledge of R or Python
Some knowledge of the following: Generalized Linear and Non-Linear Models, Time Series Analysis, Random Forest, Gradient Boosted Machines, Neural Networks, Unsupervised Methods (Dimensionality Reduction, Clustering, etc.)
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 any of the following: 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, Discrete-Event & Stochastic Simulation
Knowledge of: H2O.ai, TensorFlow, SAS
Familiarity with scaling and operationalizing data science models in production settings
Experience working in a cloud-computing environment such as AWS, Azure, GCP, etc
Prior exposure to the transportation or logistics industry
This position offers an exceptional opportunity to work for a Fortune 50 industry leader. If you are selected, you will join our dynamic technology team in making a difference to our business and customers. Do you think you have what it takes? Prove it! At UPS, ambition knows no time zone.
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