Über
that
serve 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 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. QUALIFICATIONS Requirements: • Strong analytical skills and 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. • Expertise in R, SQL, Python. • Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production at scale. • 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. • 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. Preferences: • Familiarity with Java or C++ Employee Type: Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Other Criteria: 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.
Sprachkenntnisse
- English
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