IN - TDC 1 (IN110), India · el año pasado
El científico de datos construirá e implementará modelos predictivos y prescriptivos avanzados con PyTorch o TensorFlow, desde la obtención de datos y pipelines hasta el despliegue en producción. El puesto también incluye presentar hallazgos analíticos y recomendaciones a las partes interesadas.
Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description: JOB SUMMARY This position creates and implements 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. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position 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 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: •Ability to take a data science problem from start to finish, use pytorch/tensorflow to build the full model product. • 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. In 1907, two teenage entrepreneurs in a Seattle basement started with a $100 loan and created what would become the world’s largest package delivery service. Today, operating in more than 220 countries and territories, UPS is committed to moving our world forward by delivering what matters. UPS and its more than 500,000 UPSers around the globe are a transportation and logistics leader, offering innovative solutions to customers, big and small. UPS understands and appreciates its responsibility to help build safe, stronger and more resilient communities founded on justice and economic opportunity for all, supported by a healthy, sustainable global environment.
Publicada el 29 abr 2025
