Top Hybrid Data & Analytics Jobs in Seattle, WA
Seeking an experienced Senior Staff Data Scientist to lead machine learning efforts improving product experience for members by developing and deploying machine learning models. Responsibilities include working closely with Product and Engineering teams, conducting statistical analyses, collaborating with cross-functional teams, and staying updated on the latest Data Science developments. Requirements include 8+ years of experience in Data Science, strong programming skills, proficiency in SQL and data visualization, experience with cloud-based platforms, and an advanced degree in a quantitative major.
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.
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.
Build and deploy ML models for identity resolution and ads attribution. Collaborate with cross-functional teams to align on ML strategies. Stay updated with the latest ML technology and solve complex problems. Ensure code quality and build scalable products.
Featured Jobs
The Lead Data Engineer at Disney Entertainment & ESPN Technology will design and build data pipelines for measuring subscriber movements and metrics. They will collaborate with various teams, mentor junior data engineers, and ensure data solutions are reliable and scalable in a fast-growing data ecosystem.
Design, build, and enhance batch and real-time inference services and tooling to support Machine Learning use cases. Collaborate with cross-functional stakeholders to drive strategic roadmaps and priorities. Partner with ML modelers to encourage adoption of new tools and technologies. Have a significant impact on influencing team culture.
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.
The Senior Data Analyst is responsible for collecting, analyzing, and interpreting data to improve and demonstrate the performance of Hiya's security and protection products. This role involves project management duties related to data flow and processing, creating high-quality dashboards, and potentially participating in customer meetings.
As a Senior Data Architect at Highspot, you will design and implement scalable data models, develop a robust data lake architecture, optimize data warehouse performance, ensure data security, and provide technical leadership. Requires 10+ years of experience in data architecture and a strong background in SQL, Python, and modern data platforms.
Seeking an AWS Data Engineer (Senior) with extensive experience in PySpark and SQL. Must have experience with Amazon EMR or Amazon Glue for data pipelines and data models using Amazon Redshift or Snowflake, Amazon Athena, and Presto. Experience with Airflow for orchestration is required. Bachelor's degree in Computer Science or related field is preferred. Strong problem-solving and communication skills are required.
As a Business Intelligence and Visualization Specialist, you will help clients make sense of complicated data, drive their business forward, and deliver their product lines more efficiently.
All Filters
No Results
No Results
