Top Data & Analytics Jobs in Seattle, WA

Seeking a Competitive Intelligence Analyst to support product and sales teams in the cybersecurity field. Responsibilities include analyzing competition, providing guidance, developing rapport with the field, and making recommendations on sales tactics and product strategy. This is a remote work position requiring a Bachelor's degree and 5 years of experience in the log SIEM market.

As a NetSuite Business Systems Analyst at CrowdStrike, you will support the design of finance applications, collaborate with stakeholders to document requirements, lead user acceptance testing, and facilitate training on finance tools and technology. This role requires 8+ years of experience, strong communication skills, and a proactive approach to delivering finance application projects.

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.

Seeking a Machine Learning Architect to elevate the Machine Learning and Artificial Intelligence R&D strategy at Qualtrics. Responsibilities include designing robust AI architectures, selecting appropriate AI technologies, collaborating with cross-functional teams, and optimizing ML systems for performance and scalability.