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Job Description:

Internal Job Grade- 20G

This position is responsible for creating and implementing advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. The incumbent leverages emerging tools and technologies available in On-prem and Cloud environments. The incumbent utilizes industry standard Machine learning and Data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects.

Responsibilities

• 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 serves as inputs for data and analytics systems. For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts.

• 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 KPI expectations and validation, testing, and re-training of existing models to meet business objectives.

• 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 serves as inputs for data and analytics systems. For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts.

• 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 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.

• Works with the team to present operationalized analytic findings and provide 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.

Qualifications

• Bachelors degree with 2 years of experience

• Strong analytical skills, attention to detail.

• Able to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach.

• Expertise with statistical techniques, machine learning or operations research and their application in business applications, especially libraries used in data science like TensorFlow, PyTorch, Scikit-learn, etc.

• Expertise in R, SQL, Python

• Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production at scale

• Experience with LLMs is a plus, but a well-rounded ML/deep learning background is key

• 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, familiarity with big data technologies such as Spark, or similar platforms

• Solid oral and written communication skills, especially around analytical concepts and methods. Able to communicate data through a story framework to convey data-driven results to technical and non-technical audience.

The position is based in Atlanta, Georgia and will require commuting to office. Employer will not sponsor a visa for this position. Must be currently in the same geographic location as the job or willing to relocate yourself.

Employee Type:

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Other Criteria:

Employer will sponsor visas for specific positions. 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.

Basic Qualifications:

Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.