Top Data Science Jobs in Seattle, WA
Develop and implement machine learning models to solve complex supply chain problems. Collaborate with stakeholders to understand business requirements, analyze data to develop insights, and communicate results effectively to non-technical audiences. Drive process improvements and adapt ML-based replenishment strategies for a dynamic supply chain environment.
Develop detailed multi-level atomic models of ion transport in a quantum computing system and contribute to technical requirements and advancements in quantum computing platforms.
Develop advanced algorithms, execute statistical and data mining techniques, evaluate emerging datasets and technologies, contribute to thought leadership, possess strong communication and problem-solving skills.
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Seeking a Principal Data Scientist with strong engineering skills in decision science to lead experimentation and causal methods. Responsibilities include tech leadership, mentoring, and driving standards for technical design and execution. Requires deep experience in data products and infrastructure with expertise in various technologies like Airflow, DBT, git, docker, BI tools, Spark, AWS, Snowflake, scikit-learn, etc.
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Lead a team building machine learning and data science solutions for fraud and scam prevention in the financial services industry. Responsible for accelerating model development, evaluating performance, and introducing new algorithms to improve model performance.
Manager role in Machine Learning and Artificial Intelligence R&D strategy at Qualtrics. Responsibilities include leading a team to implement cutting-edge machine learning models, building scalable data pipelines, and collaborating with specialists and product managers.
Ontra is seeking a Staff Data Scientist to help propel the future of legal tech AI using data. The Staff Data Scientist will work with product stakeholders to identify areas where data insights can provide business value and will devise data projects that address those needs. Responsibilities include influencing product development, growing relationships, democratizing data insights, informing strategy, serving as a subject-matter expert, and being a technical mentor.
Lead a team of data scientists and software engineers to develop and deploy new generative AI product features. Collaborate with cross-functional teams to deliver new capabilities and shape the AI roadmap. Mentor and coach team members for professional development and growth. Stay updated with the latest AI and ML research for innovation integration.
Director role in Products & Technology Risk and Quality team at PwC's One Firm Risk Organization. Responsibilities include managing data and technology risks, ensuring regulatory compliance, and developing value propositions based on marketplace trends. Requires strong communication and critical thinking skills.
This position is responsible for using large data sets to find opportunities for optimization, creating and implementing models, and analyzing data for business insights. The ideal candidate should have proficiency in Python or R, expertise in SQL, experience with cloud-based computing platforms like AWS, and working knowledge of data infrastructure and manipulation. Strong communication skills and business acumen are essential.
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