19 days old

Advance Technology Group Data Scientist - UPS

Atlanta, Georgia
  • Jobs Rated
    7th

The UPS Advanced Technology Group is driving quantitative insights about the UPS network of today and tomorrow.

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.

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 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

Requirements

Knowledge And Skills

    • 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 - Preferred
    • Knowledge of: H2O.ai, 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
    • PhD Degree - Preferred
    • Master's Degree in a quantitative or computational field such as Statistics, Operations Research, Computer Science, Physics, Engineering, Mathematics, Economics, or related discipline - 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

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Jobs Rated Reports for Data Scientist

Posted: 2019-11-22 Expires: 2020-01-21

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Advance Technology Group Data Scientist - UPS

UPS
Atlanta, Georgia

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Data Scientist
7th2018 - Data Scientist
Overall Rating: 7/220
Median Salary: $111,840

Work Environment
Very Good
32/220
Stress
Very Low
41/220
Growth
Very Good
35/220
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