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package delivery · logistics

Senior Data Scientist Python, R, SQL, EDA, GCP, Vertex AI, IBM Watsonx

IndiaPosted 1 month ago
Data Science And StatisticsSeniorFull Time; Regular
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Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next chance 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 tomorrowpeople 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 The Data Scientist designs, develops, and implements advanced analytics and generative AI models to deliver predictive and prescriptive insights from large-scale structured and unstructured data. This role partners with cross-functional teams to translate business challenges into data-driven solutions, leveraging industry-standard machine learning, generative AI, and data visualization tools to inform confident decision-making and drive innovative product creation. The Data Scientist applies cutting-edge tools and technologies across on-premises and cloud environments (including GCP Vertex AI and IBM Watsonx) to design descriptive, predictive, and prescriptive solutions. This position also fosters data literacy and promotes the adoption of AI and ML capabilities across UPS. Responsibilities - Define and integrate key data sources (internal UPS data and external datasets) to deliver predictive and generative AI models. - Develop and implement robust data pipelines for cleansing, transformation, and enrichment of large, multi-source datasets. - Collaborate with data engineering teams to validate and test data pipelines and models during proof-of-concept and production phases. - Perform exploratory data analysis (EDA) to identify trends, correlations, and actionable patterns that meet business needs. - Design and deploy generative AI solutions, integrating them into analytics and p .

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