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About the role
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 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 Senior Data Scientist, Google Cloud Platform (GCP) A Senior Data Scientist with experience in Google Cloud Platform (GCP) is responsible for leading complex data science projects, building and deploying advanced machine learning (ML) models, and leveraging GCP's ecosystem to drive strategic business decisions. This role requires expert technical skills, solid business acumen, and the ability to collaborate with and mentor other team members. Responsibilities - End-to-End Project Leadership: Lead and manage the entire data science project lifecycle, from problem definition to model deployment and monitoring. - Advanced Analytics and Modeling: - Design, develop, and implement advanced statistical and machine learning models to solve complex business problems, such as forecasting, classification, clustering, and optimization. - Leverage expertise in advanced statistical techniques, including hypothesis testing, regression analysis, and causal inference. - GCP-Specific Responsibilities: - Architect and build scalable data pipelines and ML model workflows using GCP services such as BigQuery, Dataflow, Vertex AI, and Cloud Composer. - Develop and manage data warehousing and data lake solutions on GCP, ensuring data quality, integrity, and security. - Utilize and optimize GCP's machine learning services, including Vertex AI for model training and serving, and BigQuery ML. - Cross-Functional Collabora .
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