Top Senior Level Data Science Jobs in Seattle, WA

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.

The OFRO P&T Risk & Quality Data Science Director at PwC is responsible for developing and monitoring risk management policies, compliance, and technology solutions. The role involves leading a team to assess and manage risks effectively to facilitate the delivery of products and services profitably. The Director will need to have strong communication, critical thinking, and leadership skills.

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.

Looking for a Sr. Manager, Experimentation Science to lead a team of data scientists and analysts in hypothesis-based experimentation and data-driven decision making for in-app and signup experiences. Must have expertise in statistics, data science, experimental design, and AB testing. Responsible for increasing user engagement, retention, and customer signup through analysis and experimentation.

Develop quantitative/machine learning models to forecast product losses, analyze complex datasets, investigate external credit data, automate models and dashboards, communicate loss expectations, and collaborate with various teams.

Seeking a Senior Applied Research Scientist to join the Freight Planning Team with a focus on Ocean Planning. Responsibilities include collaborating with cross-functional teams, leading large-scale planning optimization solutions, conducting research, and delivering data-driven solutions using advanced Operations Research and Machine Learning methods.