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Top Data Science Jobs in Seattle, WA
As an AI & GenAI Data Scientist at PwC, you will develop predictive models, conduct statistical analyses, and create data visualizations. Your role involves transforming raw data into actionable insights and collaborating with clients to solve complex business problems using advanced analytics and machine learning techniques.
The Staff Data Scientist will work on developing and deploying machine learning models impacting business decisions. Responsibilities include modeling, experiments, analyzing data, collaborating with teams, and presenting findings to stakeholders. Advanced mathematics and ML methodologies will be applied to optimize marketing solutions.
Manage a team of Data Scientists to develop machine learning models to enhance business growth opportunities. Define data requirements, extract data from warehouses, build robust predictive models, and educate business teams on model implications. Oversee all aspects from problem identification to solution implementation within an enterprise setting.
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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.
The Senior Staff Scientist will develop hybrid AI applications optimized for quantum computing, lead a team of PhD scientists, collaborate across various technical teams, and engage with clients to identify valuable quantum applications. Responsibilities include developing quantum algorithms, integrating them with AI models, and influencing a multi-year Quantum AI roadmap at IonQ.
As a Senior Data Scientist at Warner Bros. Discovery, you will design and build machine learning systems for customer growth, lead the development of scalable ML solutions, promote best practices, and collaborate with cross-functional teams to solve complex problems related to user engagement and retention.
Collaborate on product and business problems, apply technical expertise with quantitative analysis, develop strategies, define hypotheses, test opportunities, and shape product development using data.
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 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 and implement machine learning models, focusing on Multi-Armed Bandits and recommendation systems. You'll work closely with cross-functional teams to enhance customer engagement through deep personalization models, optimize business strategies, and drive revenue growth. This hands-on role demands a thorough understanding of data science methodologies and collaboration with various stakeholders.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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