Top Data Science Jobs in Seattle, WA
Seeking a Principal Data Scientist with strong engineering skills to lead ML and AI initiatives across multiple teams at a financial services company. Responsibilities include building ML / AI products, setting technical standards, providing mentorship, and collaborating with various departments. Requires strong experience in machine learning, AI, data products, and software engineering. Must have expertise in technologies like Airflow, DBT, Git, Docker, Kubernetes, BI tools, Spark, AWS, Snowflake, Scikit-learn, TensorFlow, PyTorch.
As a Distinguished Architect at ServiceNow, you will lead AI initiatives focusing on cutting-edge technologies like deep learning and natural language processing. Responsibilities include collaborating with engineering and product teams, building elegant architectures, architecting reusable components, influencing leadership, conducting competitive analysis, and sharing thought leadership in the AI industry.
Lead a team of Data Scientists and Machine Learning Engineers to create AI models that drive company growth. Define strategy for AI demand, implement use cases, build models, and teach business teams. Requires degree in Data Science, Machine Learning, Statistics, or Artificial Intelligence and experience in leading teams to build predictive models.
Join IonQ as a Staff Scientist - AMO Theory to develop and analyze models of ion-light interactions in their quantum computing system. Contribute to advancing quantum computing platforms and stay current with research in quantum control techniques.
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Snap Inc is looking for a Senior Data Scientist to join their product team. The role involves applying quantitative analysis and statistical modeling to deliver impactful insights, driving decision-making, collaborating with cross-functional teams, and conducting machine learning analyses.
Looking for an Applied Scientist to bring Machine Learning and Artificial Intelligence R&D to the next level at Qualtrics. Responsibilities include building cutting-edge predictive models, developing scalable algorithms, and leveraging generative models like GANs and VAEs. Requires proficiency in Python and deep learning frameworks like TensorFlow or PyTorch.
The Applied Scientist III will design, develop, and implement machine learning models for various applications, as well as research and implement state-of-the-art algorithms. They will also collaborate with cross-functional teams and provide technical guidance.
The Data Science Manager at ZS Discovery will shape and grow AI capabilities in pharmaceutical discovery, work closely with clients, lead a team of data scientists, develop AI offerings, and present results at industry conferences.
Seeking a Senior Manager of Data Science to develop a world-class team, build stakeholder relationships, and drive growth using data insights. Must be able to translate business problems into analytical questions, drive initiatives based on data insights, and lead a team towards measurable impact.
Seeking a Senior Data Scientist with 5+ years of experience in healthcare analytics. Responsibilities include designing and implementing advanced diagnostic, predictive, and prescriptive models, leading data analysis projects, and mentoring junior team members. Must have strong proficiency in SQL, Python, and machine learning frameworks.
CrowdStrike is seeking a Data Scientist specializing in machine learning to join their CTO Labs team. The role involves leveraging large-scale rich data to improve supervised learning models for identifying malicious computer software and behavioral threats. Responsibilities include mining data, creating predictive models, innovating new learning techniques, and collaborating with domain experts. The ideal candidate should have a STEM degree, extensive experience in data science and machine learning, programming skills in Python, and 2-4 years of real-world machine learning experience.
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