Top Data & Analytics Jobs in Seattle, WA
As a Data Scientist, you will analyze large datasets to identify optimization opportunities, develop algorithms, and create simulations. Responsibilities include writing production-ready code and implementing models into production independently. You will collaborate with stakeholders to drive business results using data insights and build professional dashboards as standalone software products.
As a Marketing Data Engineer, you will develop scalable ETL/ELT pipelines, manage cloud-based data warehouses, implement data integration solutions, and ensure data quality for analytics. Collaborating closely with various teams, you will enable machine learning initiatives and optimize data processing workflows while maintaining high data integrity across systems.
The role involves managing data center vendor relationships, overseeing deals from planning to execution, and collaborating with various teams to ensure effective sourcing and budget management for Cloudflare's infrastructure growth.
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The Billing Analyst manages the billing process, ensuring invoice accuracy and financial transaction integrity. Responsibilities include analyzing billing data, monitoring payments, following up on overdue accounts, resolving discrepancies, and providing customer service for billing inquiries. This role contributes to the growth of the Accounts Receivable function within the Accounting team.
As the Manager of Data Analytics at Ontra, you will lead a team focused on developing a data culture, translating business problems into actionable insights, ensuring project prioritization, and coaching your team for growth and accountability.
The Senior Data Scientist will focus on building machine learning models, specifically in performance marketing. Responsibilities include developing personalization models, optimizing algorithms, and collaborating across teams to enhance data science initiatives. The role is hands-on, requiring direct involvement in data implementation and machine learning solutions.
As a Senior Data Scientist, you will develop deep personalization models and complex optimization algorithms to enhance consumer experience and increase revenue. You will build machine learning solutions, collaborate with cross-functional teams, and play a key role in shaping the data science strategy. A hands-on approach is essential for this position.
As a Senior Software Engineer on the Data Trust team at Lyft, you will design, develop, and maintain platform offerings while improving data operations and ensuring data quality. You will work on large-scale infrastructure and collaborate with product teams to implement technical solutions, manage projects, and drive initiatives from design to execution.
The Data Analyst for Growth Strategy & Analytics at Lyft will manage experimentation, dashboarding, and strategy for key acquisition levers to drive business growth. Responsibilities include proposing and analyzing growth experiments, developing dashboards to monitor performance, and presenting insights to stakeholders.
As a Senior Data Scientist in Machine Learning at Lyft, you will develop mathematical models to enhance core services, optimize ride supply and demand, and collaborate with cross-functional teams to implement algorithms that improve user experiences for riders and drivers.
The Mixed Method Researcher will drive research and UX practices focusing on diversity and inclusion, build impactful research plans, analyze quantitative and qualitative data, and provide actionable insights to inform product decisions. Collaboration with designers, product managers, and engineers is key throughout the product life cycle.
This role involves developing and managing data pipelines using AWS services, particularly focusing on data governance, data modeling, and ensuring data quality. The AWS Data Architect will collaborate with cross-functional teams to implement data solutions and support data-driven decision-making.
The Principal Data Scientist role focuses on leveraging data from Magnify's customers to build predictive models for revenue expansion and churn. Responsibilities include improving model accuracy based on stakeholder input, providing thought leadership on data science and machine learning innovations, and collaborating with engineering to develop reliable data science infrastructure.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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