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Top Data Science Jobs in Seattle, WA
The Principal Data Scientist will lead the predictive analytics practice, focusing on deploying machine learning models for financial metrics and customer forecasts, collaborating across teams to enhance operational capabilities and model performance.
As a Data Scientist at Horizontal Digital, you will develop algorithms and predictive models to solve business challenges for Salesforce, enhance CRM applications, and create valuable insights through data analysis and visualization. You will design data models and manage data as a product while collaborating with various teams to deliver analytics and dashboards.
The Senior Software Engineer will lead or collaborate on the design, development, and deployment of software features, ensuring clean, reusable coding standards and effective problem-solving with clients. This role involves improving code architecture and maintaining high-quality documentation.
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The Practice Director will lead the Data Engineering and AI/ML practice, managing customer engagements and focusing on Data Modernization. Responsibilities include strategic planning, team leadership, guidance on data solutions, and operational management while ensuring excellence and innovation in delivery.
As a Data Scientist/Analyst at PayZen, you will develop statistical and machine learning models to improve patient engagement and financial processes. Responsibilities include collaborating with teams to optimize data strategies, designing AI/ML model infrastructure, and executing A/B tests to drive unbiased insights for better business outcomes.
The Senior Data Scientist will develop and deploy lead scoring and recommendations models to increase sales call conversion rates, work with business stakeholders to prioritize data modeling projects, establish best practices for model performance evaluation, mentor team members on ML projects, and guide data modeling needs for machine learning systems.
The Senior Data Scientist will architect, design, and implement generative AI models for ASR and TTS applications, leveraging LLMs. Responsibilities include training and optimizing models, collaborating with cross-functional teams, and innovating existing models while staying updated on the latest advancements in generative AI.
As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.
As a Data Scientist Manager, you will lead projects transforming clients through data, develop data science products, mentor junior team members, and write optimized code while enhancing client relationships and promoting team happiness.
As a research scientist at Virdx, you will be responsible for developing the diffusion simulation engine, optimizing MRI protocols, and building the ground truth pipeline to innovate cancer detection methods using machine learning and statistical inference.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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