Top Data Science Jobs in Seattle, WA
As a Data Scientist, you will analyze large datasets to identify optimization opportunities, develop algorithms, and create simulations. Responsibilities include writing production-ready code and implementing models into production independently. You will collaborate with stakeholders to drive business results using data insights and build professional dashboards as standalone software products.
As an Applied AI Scientist at ZS, you'll develop advanced algorithms, execute data mining techniques, evaluate datasets and technologies, and contribute to the firm's thought leadership in analytics and machine learning.
Develop quantum chemistry algorithms and applications, collaborate with various teams to design optimized quantum workflows, and work with clients to address real-world problems using IonQ's quantum computers.
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The Associate Director, Data Science will lead the Supply Chain Replenishment Science team, developing and implementing models for supply chain optimization using data science techniques. Responsibilities include collaborating with various supply chain functions, developing algorithms, and driving process improvements to enhance supply chain metrics.
The AI & GenAI Data Scientist-Manager at PwC is responsible for leveraging advanced analytics to aid clients in decision-making. The role involves managing teams, developing AI solutions, documenting processes, and collaborating with clients for tailored AI architectures, with a focus on both structured and unstructured data processing.
The Senior Data Scientist will drive Growth, Engagement, and Retention strategies by leveraging data analysis, statistical modeling, and machine learning. Responsibilities include designing data pipelines, developing machine learning models, evaluating analysis results, and communicating insights to stakeholders, all while collaborating with various teams to influence product strategy and revenue growth.
Collaborate on product and business problems, apply technical expertise with quantitative analysis, develop strategies, define hypotheses, test opportunities, and shape product development using data.
The Senior Research Scientist will work on video content risk inspection systems, utilizing techniques in computer vision, deep learning, and machine learning to analyze text metadata, video, audio, and images. This role involves building scalable solutions, collaborating with other scientists, and working with development teams to create high-precision predictive models for a customer-facing video platform.
As a Data Science Manager at Stripe, you will lead and manage a high-performing team of data scientists, guiding them in modeling, design processes, and delivering scalable data solutions. You will collaborate with various teams to drive data-driven decision-making and enhance the user experience across Stripe's platforms, all while mentoring and supporting your team's career advancement.
As a Senior Data Scientist, you will develop deep personalization models and complex optimization algorithms to enhance consumer experience and increase revenue. You will build machine learning solutions, collaborate with cross-functional teams, and play a key role in shaping the data science strategy. A hands-on approach is essential for this position.
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