Top Senior Level Data Science Jobs in Seattle, WA

Develop and enhance models and algorithms for fulfillment operations, collaborate with cross-functional teams to achieve business goals, provide expertise and mentorship to junior data scientists, and communicate proposals and solutions to stakeholders.

As a Principal Scientist/Machine Learning Engineer, you will be driving the future direction of new initiatives and leveraging the latest advancements in ML. You will be responsible for designing, implementing, and scaling innovative machine learning solutions. You will collaborate with product managers, ML engineers, and software engineers to frame ML problems and architect solutions that deliver real-world value.

Looking for a Data Scientist to join the Risk Data Science and Analytics Team at Square. Responsibilities include improving risk controls, managing core operational metrics, advising senior stakeholders, building processes to root out high-risk activity, and preventing fraud. Key tasks involve diagnosing problems, designing experiments, developing data pipelines, and partnering with cross-functional teams to develop solutions. Qualifications include a degree in a quantitative/technical field, 8+ years of experience, proficiency in SQL, Python, and Looker, strong statistics knowledge, and experience with machine learning model development.

Build and lead a team of data scientists to partner with marketing, sales, and product teams to optimize marketing strategies, grow revenue, and launch high-impact initiatives. Develop predictive models, automate reporting, analyze marketing performance, and drive data-informed decision-making for a SaaS company.

Lead the development of Large Language Models for Enterprise Language Generation at ServiceNow. Collaborate with engineering and product teams to incorporate AI technologies into the company's roadmap. Architect elegant and reusable solutions for AI-powered work experiences. Champion AI strategies and industry trends to shape the direction of AI-driven initiatives at ServiceNow.

We're looking for a Senior Data Scientist with expertise in Experimentation and Statistical analysis to join our team at Chewy. In this role, you will be responsible for building a culture of experimentation, accelerating product development through rapid experimentation, and helping us deliver differentiated experiences for our customers. You will work cross-functionally with various teams to define and operationalize experimentation best practices, provide consulting on test design, ensure data quality, build data science models, and measure the success of our experimentation program. The ideal candidate will have a strong background in data science, statistics, and experience in managing structured and unstructured data.

Senior Data Scientist role at Snap Inc, focusing on quantitative analysis, data modeling, and statistical modeling to deliver impactful insights for informed business decisions. Collaborate with cross-functional teams to drive projects and optimize product performance. Must have 5+ years of experience in data science, SQL, Python, and statistical techniques.