UPS hires exciting Data Science job in Chennai 2024.

UPS is hiring for a Data Science job in Chennai 2024. Both Freshers and Experienced candidates must apply for this position and Grab this opportunity.

Hello Data Folks, This is the great opportunity for all the individuals who have interest in Data Science domain, must start a job at UPS for the position Data Scientist in Chennai. If you are someone who is interested in this Job role must read there all responsibilities and requirements. And If you are someone who is looking for Data Science Job in Chennai or some other opportunities in Data Sector, must Subscribe to our Web Notification or follow us on other social media handles.

About Company

United Parcel Service (UPS) is a prominent American multinational company specializing in shipping, receiving, and supply chain management. Founded in 1907 as the American Messenger Company, UPS has grown into one of the world’s largest and most recognized courier services. The company offers a wide range of logistics solutions, including package delivery, freight forwarding, and supply chain management. With a strong global presence, UPS operates in over 220 countries and territories, providing reliable and efficient services to businesses and consumers alike.

About Job Role

This Data Scientist 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.

Requirements

• Expertise in R, SQL, Python and/or any other high-level languages.
• Exploratory data analysis (EDA), data engineering and development of advanced analytics models.
• Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras.
• Experience applying models from small to medium scaled problems.
• Strong analytical skills and attention to detail.
• Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach.
• Expertise with statistical techniques, machine learning, and/or operations research and their application in business.
• Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production.
• 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.
• Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains.
• Familiarity with Java or C++ is a plus.
• 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 audiences.
• 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.

Why Join UPS?

• Working with UPS in the role of a Data Scientist ensures that you align yourself with a Global Fortune 500 corporation that is highly innovative and present across the globe.
• UPS provides a culture that inspires teamwork and rewards accomplishment that embraces the difference in skills, enthusiasm and ability to lead the people.
• You are able to do this because the work exposes you to advanced analytics and machine learning related projects that are able to change the way things are done.
• At UPS, Data Scientist plays a crucial role in designing predictive models and developing insights that drive confident decision-making and product innovation.
• Access to vast amounts of data and relevant technology shall be available, including on-prem and cloud environments, with tools like VertexAI, Databricks and Sagemaker.
• This can be a daunting space but worthwhile at the same time as it helps to build and horns your machine learning, artificial intelligence and data visualization skills.
• Moreover, UPS promotes career development by allowing its employees to participate in different, meaningful projects and it also recommends that they learn more, so as to progress in the growing field of data science.
• Such policies and values create an enabling environment where one can successfully operate without the worries of harassment or any systemic oppression based on ethnicity, and any other discrimination.
• The benefits offered are also attractive, and that is why, even with their noble cause, UPS will suit you best if you are looking for a data science job with a good trajectory, with good data scientist salary ranges, and a promise of making a difference in a global company.

Career Growth and Opportunities

• Joining UPS as a Data Scientist offers dynamic career growth and the chance to advance within a Fortune Global 500 company known for its innovation and impact in logistics and data-driven decision-making.
• As a data science professional at UPS, you’ll work with talented teams, leveraging industry-standard machine learning, predictive analytics, and advanced data visualization tools in both on-premises and cloud environments.
• This data science job focuses on generating actionable insights from structured and unstructured data, supporting projects across the company with predictive and prescriptive models.
• UPS provides a unique platform to refine your skills and expand your expertise.
• You’ll have the opportunity to work on varied data science projects that contribute to UPS’s core mission, applying cutting-edge AI and machine learning techniques to solve real-world problems at scale.
• The company emphasizes professional development, offering mentorship and access to resources that support continuous learning, while creating an environment where employees can confidently step into leadership roles.
• As you progress, you’ll benefit from competitive data scientist salaries and career opportunities that recognize both your technical expertise and contributions to UPS’s strategic objectives.
• UPS’s commitment to diversity, professional development, and growth creates an ideal setting for data scientists to advance their careers while driving impactful outcomes within a global organization.

Industry Impact of the Role

• As a Data Scientist at UPS, a Fortune Global 500 company, your role is pivotal in shaping the future of logistics through data-driven insights and advanced analytics.
• UPS relies on data science to enhance decision-making processes, optimize operations, and predict customer needs, contributing directly to the company’s mission of efficient global commerce.
• In this data science job, you’ll employ predictive and prescriptive analytics, creating models that transform large volumes of structured and unstructured data into actionable insights.
• Your work as a data scientist will influence key operational areas, from logistics and delivery optimization to customer service enhancements.
• Using the latest machine learning software and AI services in the cloud, you will facilitate innovations designed to cut costs and enhance the global network of UPS.
• The benefits of this are not just in the short-term enhancement of operational capabilities; thanks to your initiatives towards increasing the data literacy levels at UPS, the logistics sector as a whole will undergo a transformation.
• Subsequently, this position has a well paying data scientist salary, room for career advancement, and the ability to make a real difference in large scale projects in an organization that is pioneering on the use of data science in the industry.

Learning and Development Opportunities

• At UPS, outstanding learning and development opportunities enable data scientists to advance not only their careers but their personal lives too.
• Working as a Data Scientist at UPS provides you with the chance to work at the frontiers of data science on projects involving advanced analytics models that use big data to provide intelligent insights.
• UPS backs lifelong learning through real project work using state-of-the-art machine learning systems such as VertexAI, Databricks and SageMaker and other open source software like PyTorch and TensorFlow.
• The company encourages staff to improve their data science skills and keep up with AI and machine learning trends through career-friendly materials where the body is regarded as a resource.
• Focused on improvement of skills and growing talent, allows UPS data scientists an opportunity to propel their career further which contributes greatly to the data science job experience.
• In addition, the salaries for data scientist positions at UPS are high, as this role is considered to be critical in enhancing innovation.
• Thanks to these aspirations towards professional development, UPS makes sure that all data scientists are in a position to contribute meaningfully in the organization and the industry at large.

Application Tips and Common Mistakes

• Before applying to the job post, make sure that your resume serves its purpose by showcasing relevant skills including R, SQL, Python is crucial.
• Make sure that you should customize your resume before applying particular job role and also add the relevant skills mentioned in Job description without any failure.
• Finally, always remember that your resume fulfills the expectations of the job description and also showcase your project work very well in your resume.

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🔴 Note : ⤵️

• Read all criteria and information carefully and make changes in resume according to that by adding relevant keywords so that their are more changes to get an interview call, otherwise you will lose an opportunity.
• So make sure that read all the info and then proceed to apply.
• This all the job description we are taken from company’s official Page, so do check it.
• Check salary(given salaries are according to Glassdoor & Ambition-box), qualification and other details on the company’s official website as well.
• Before applying check once the company’s profile and what company actually do and which role they are hiring.

✅Best of luck👍 and have a Great future ahead.✨

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👨‍💼About the Author ⤵️

Rishikesh Deshmukh

I am working with a dedicated team of experts committed to helping job seekers find a right job opportunities in Data Domain Sectors. We aim to match job seekers with latest job openings in Data Domain.