Top Data & Analytics Jobs in Seattle, WA
As the Senior Director of Analyst Relations, you will lead the Analyst Relations program, develop strategic plans, build relationships with top industry analysts, manage effective communication, influence product strategies based on feedback, and participate in key industry evaluations.
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 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.
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As a Data Engineer on the Optimized Checkout & Link team at Stripe, you will conceptualize and own data architecture for large-scale projects, advocate for data quality, create frameworks for efficient logging, and optimize data ingestion and delivery pipelines. You will analyze SQL data, mentor team members, and contribute to high-quality coding practices.
As a Risk Strategist on the Fraud team at Stripe, you will be responsible for reducing losses from merchant risk by monitoring accounts, scaling risk processes, and working with internal partners to tailor fraud risk management techniques. You will challenge the status quo in the payments industry and help innovative businesses thrive online.
The System Middleware Analyst will understand telecom terminology and middleware concepts, facilitate SOA's importance to the business, and have experience working with complex telecommunications systems. They will work independently with multiple departments, resolve technical issues, and possess excellent communication and customer service skills.
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 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.
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.
The Contracts Analyst will provide legal support for revenue generation activities, manage contract renewals, assist in NDA reviews, support negotiations, and maintain legal repositories. This role requires collaboration with legal and business stakeholders and effective process management within a fast-scaling business.
As a Data Scientist at Stackline, you will develop Machine Learning solutions, analyze large datasets, provide insights, collaborate with cross-functional teams, and design innovative models to drive growth. You will work hands-on with data pipelines and implement quality control procedures.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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