Top Data Science Jobs in Seattle, WA
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.
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 Data Scientist III will design and implement machine learning models, analyze complex data sets, and collaborate with teams to deliver data-driven solutions. The role involves leading data collection processes and mentoring others in model development while communicating insights effectively to stakeholders.
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The Principal Engineer, Machine Learning / AI will drive technical capabilities in ML and AI across multiple teams, mentor data scientists, lead technical standards, and advocate for best practices. The role involves hands-on development of ML/AI products and collaboration across various business units to enhance systems and products.
The Director of Data Science at Snap Inc will lead a team focused on improving customer engagement and ad performance through advanced data analysis, machine learning, and strategic insights. The role involves partnering with senior executives to solve complex business questions, manage projects, and deliver actionable recommendations.
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 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.
The Senior Manager of Machine Learning will lead a team in developing machine learning and data science solutions for fraud prevention in financial services. Responsibilities include managing model performance, building team relationships, introducing new algorithms, and constantly improving models in response to trends.
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.
The Senior Data Scientist will focus on building machine learning models, specifically in performance marketing. Responsibilities include developing personalization models, optimizing algorithms, and collaborating across teams to enhance data science initiatives. The role is hands-on, requiring direct involvement in data implementation and machine learning solutions.
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