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Top Hybrid Senior Level Data & Analytics Jobs in Seattle, WA
Manage a team of Data Scientists to develop machine learning models to enhance business growth opportunities. Define data requirements, extract data from warehouses, build robust predictive models, and educate business teams on model implications. Oversee all aspects from problem identification to solution implementation within an enterprise setting.
The Lead Machine Learning Engineer will develop, implement, and optimize recommendation algorithms for Disney's media platforms. This role involves collaborating with engineering and product teams to achieve personalization goals, maintain ETL pipelines, and ensure best practices in algorithm development. The engineer will also drive the roadmap for algorithmic projects to enhance content recommendations.
As a Data Engineer on the Core Growth Team at Snap, you'll collaborate with stakeholders to create high-quality datasets, develop scalable ETL pipelines, manage data warehousing solutions, ensure data integrity, and maintain data security practices.
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As a Staff Data Scientist, you will lead projects to enhance Growth, Engagement, and Retention strategies by analyzing data, building reliable data foundations, mentoring team members, and collaborating with various departments. You will also develop machine learning models and communicate insights to stakeholders.
The Health Plan Analytics and Insights Manager will lead client business development and manage relationships within the health plan sector, while leveraging knowledge of industry trends. The role involves guiding teams, providing feedback, and fostering an inclusive work environment, ensuring client satisfaction and effective communication among stakeholders.
The Senior Machine Learning Engineer will research, design, and build machine learning systems to enhance customer engagement. They will lead the development of scalable ML solutions, promote best practices in data science, and collaborate with cross-functional teams to address challenges in product development.
The Senior Director of Analyst Relations at Freshworks will lead the analyst relations program, managing relationships with industry analysts, driving strategic initiatives, and ensuring effective communication of the company's vision. Responsibilities include developing AR strategies, preparing presentation materials, organizing events, and leveraging insights to influence product development. Strong interpersonal skills and a deep understanding of the tech landscape are key to success in this role.
The Senior Data Analyst collects, analyzes, and interprets data to enhance Hiya's security products. Responsibilities include managing data pipelines, collaborating with various teams, and creating high-quality dashboards. The role requires storytelling with data to support the company's objectives and engaging with external vendors.
As a Data Engineer, you will build and maintain data infrastructure to enhance revenue growth and seller acquisition at Square. This role involves creating data pipelines, collaborating with engineering teams, analyzing data sources, and supporting business reporting and optimization efforts. You'll also assist in data analysis and serve as a bridge between engineering and marketing teams.
As a Data Engineer on the Marketing Data Engineering team, you will build and maintain essential data infrastructure, develop ETL processes, and collaborate with various teams to ensure accurate data flow and reporting. Your role directly influences revenue growth and stakeholder decision-making through efficient data pipelines and anomaly detection.
Top hybrid Companies in Seattle, WA Hiring Data + Analytics Roles
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