Top Data & Analytics Jobs in Seattle, WA

Senior AI Engineer responsible for training and tuning models using Deep Learning Machine Learning Models, Large Language Models, data engineering, and evaluation frameworks. Working on optimizing networks to better serve applications with a highly novel approach.

Responsible for training, tuning, and evaluating models using Deep Learning and Large Language Models. Collaborate with AI engineers to design and maintain ML pipelines. Proficient in crafting ML models and leveraging machine learning frameworks such as SKLearn, XGBoost, PyTorch, and Tensorflow.

The Director of Data Science will lead a team focused on improving the customer and advertiser experience through data-driven solutions at Chewy. Responsibilities include developing machine learning models, enhancing advertising algorithms, conducting research, and mentoring junior scientists to optimize product selection and performance.

As a Senior Applied Scientist on the Sponsored Ads team at Chewy, you'll deploy machine learning and data science to enhance product selection and advertising solutions, guiding technical strategy, leading projects from ideation to production, and mentoring junior scientists while publishing research in influential conferences.

As an Applied Scientist, you will develop and implement machine learning models to enhance product search and advertising performance on Chewy. The role involves collaborating with product and engineering teams, mentoring junior scientists, publishing research, and deploying solutions aimed at improving customer engagement.

The Senior Data Analyst is responsible for collecting, analyzing, and interpreting data to enhance the performance of Hiya’s security products. Responsibilities include managing data pipelines, collaborating with teams to identify insights, developing production-quality dashboards, and documenting service performance tests.

As a Senior Associate Data Scientist at PwC, you will utilize advanced analytics techniques to extract insights from large datasets, solve business problems, and collaborate with clients. Responsibilities include building AI and GenAI solutions, documenting business processes, designing AI architectures, and managing analytics operations to drive quality insights and decision-making.

As a Senior Manager in PwC Intelligence, you will lead a team to drive innovative solutions for clients, conduct market analysis, and enhance service offerings. Your role involves engaging with stakeholders, addressing complex business challenges, and utilizing technical expertise in data analysis and software engineering.

As a Cloud Data & Analytics Manager, you will lead efforts to align client data strategies with their business goals, utilizing cloud platforms like AWS, Azure, and GCP. Responsibilities include assisting clients with data migration, managing complex business issues, coaching team members, and developing insights to inform strategic decisions.

As a Staff Machine Learning Engineer, you will design, build, and productionize machine learning models to tackle various business challenges. Collaborating with product and engineering teams, you will focus on data processing, improving service performance, and sharing knowledge through discussions and presentations.

The Data Manager will engage in developing innovative data-driven solutions for risk management, focusing on data acquisition, pipeline development, API creation, and collaboration with AI/ML teams. Responsibilities include data transformation, governance, and continuous process improvement.

The Senior Data Scientist will drive Growth, Engagement, and Retention strategies by leveraging data analysis, statistical modeling, and machine learning. Responsibilities include designing data pipelines, developing machine learning models, evaluating analysis results, and communicating insights to stakeholders, all while collaborating with various teams to influence product strategy and revenue growth.

As a Staff Data Scientist, you will lead the Member Data Scientist team to analyze data for driving Growth, Engagement, and Retention strategies, mentor team members, develop machine learning models, and communicate insights to stakeholders, while collaborating with various cross-functional teams.

As a Senior Data Scientist, you will apply your expertise in quantitative analysis and machine learning to drive informed decision-making and optimize product development processes. You will collaborate with cross-functional teams to identify opportunities and deliver actionable insights through data modeling and statistical analysis.

The Principal Machine Learning Engineer will design and implement machine learning components and services, build a training framework, optimize model performance using GPUs, and develop an AutoML platform. The role involves collaboration across teams to meet product requirements and advocating for best practices in system availability and scalability.

As a Principal Machine Learning Engineer on the Ad Ranking team, you will drive the technical roadmap, design and implement machine learning models for ad optimization, collaborate with various teams to align on strategies, and advocate for best practices to enhance performance and scalability.