Data Scientist
Company: UPS
Location: Mahwah
Posted on: June 24, 2022
Job Description:
Data Scientist
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.
Will consider candidates from the following I.T. locations: -NJ,
GA, and KY.
About -Data Science -at UPS Technology:
The -Data Scientist -will work with our AAG DSML CoE team to
create, develop and deliver machine learning models that would be
needed to support business decisions. The 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 analysis, data mining, predictive and
prescriptive analytics. - 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.
The Data Scientist -gathers data and performs analysis necessary to
develop and evaluate UPS Strategy. - Successful candidate will work
under supervision of a Senior Data Scientist and a team lead, as
well as internal Subject Matter Experts to assist in identifying
the best approach to gathering information and solving business
issues in various areas of UPS business, ranging from Customer
Accounts to Package Delivery to Workforce Analytics. The candidate
will possess ability to demonstrate experience with analytics, data
gathering and data mining tools to assist in guiding the business
strategy.
Responsibilities include:
- Defines key data sources from UPS and external sources to
deliver models.
- Develops and implements pipelines that facilitates data
cleansing, data transformations, data enrichments from multiple
sources (internal and external) that serve as inputs for data and
analytics systems.
- Develops data design based on the exploratory analysis of large
amounts of data to discover trends and patterns that meet stated
business needs.
- Defines model key performance indicator (KPI) expectations and
validation, testing, and re-training of existing models to meet
business objectives.
- Reviews and creates repeatable solutions through written
project documentation, process flowcharts, logs, and commented
clean code to produce datasets that can be used in analytics and/or
predictive modeling.
- Synthesizes insights and documents findings through clear and
concise presentations and reports to stakeholders.
- Presents operationalized analytic findings and provides
recommendations.
- Incorporates best practices on the use of statistical modeling,
machine learning algorithms, distributed computing, cloud-based AI
technologies, and run time performance tuning with the goal of
deployment and market introduction
- Leverages emerging tools and technologies together with the use
of open-source or vendor products in the creation and delivery of
insights that support predictive and prescriptive
solutions
- Evaluates the quality of data, models and algorithms and
collaborates with senior/lead -Data Scientists and Machine Learning
Engineers -for model maintenance and adjustments over time
- Collaborates with Senior/Lead Data Scientists, Machine Learning
Engineers in tracking and quantifying value of models
- Collaborates with Senior/Lead Data Scientist to promote the
adoption of models and/or ML techniques for business partners
Minimum Requirements:
- Experience in collection of data from disparate sources and
rapidly analyze and create presentations that would highlight
insights to both technical and non-technical audience
- Familiarity with use of Machine Learning techniques and
algorithms used for building Classification and Regression models.
Use of Deep Learning techniques for both analyzing data and gaining
the insights. Frameworks like Pytorch and Tensorflow
- Strong general programming skills in Linux, along with
knowledge of programming languages such as Java and XML (for data
description), Python (for creating and analyzing volumetric data),
Ruby, Golang, PHP and .NET (as a framework)
- Demonstrated experience in Cloud-AI technologies and knowledge
of environments both in Linux/Unix and Windows.
- Experience implementing open-source technologies and cloud
services; with or without the use of enterprise data science
platforms (through Python, Java, C)
- Knowledge of Cloud Platforms like Azure, Google or AWS in
assisting producing exploratory and descriptive reports on
multi-million rows of data
- 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
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
Keywords: UPS, Paterson , Data Scientist, Other , Mahwah, New Jersey
Didn't find what you're looking for? Search again!
Loading more jobs...