Top Remote Data & Analytics Jobs in Seattle, WA
Develop dashboards and visualization tools for easy data accessibility and understanding by users. Lead dashboard design, collaborate with teams, update reporting dashboards, coordinate with data analysts, provide design support, and promote stakeholder collaboration. Requires advanced degree in life sciences or data sciences and 7+ years of experience in data analytics, dashboard development, and visualizations.
Develop, maintain, and monitor activity-specific KPIs to evaluate key Medical Affairs activities, measure impact, and provide data-driven transparency on resource allocation. Lead cross-functional teams for Impact & Outcome projects and mentor Data Analysts. Conduct analytics to evaluate Medical Affairs activities, identify trends, and drive business outcomes. Manage data systems and collaborate with stakeholders to ensure efficient data reporting and visualization.
Partner with business leaders to address business challenges using predictive analytics, improve data collection and quality, align analysis efforts with business strategy, and implement statistical and machine learning models.
Lead Cash App's Personalization ML organization, overseeing all personalization ML modeling and engineering work. Grow and mentor a team of machine learning modelers and engineers, partner with product leaders, and contribute to strategic plans. Stay up-to-date with AI techniques and help shape the company's ML and AI strategy.
As a Senior Data Scientist at Cash App in the Health organization, you will partner with various teams to analyze large datasets, design experiments, build metrics, and communicate insights to drive strategy and decision-making. The role requires expertise in SQL, data visualization tools, and programming languages like Python or R.
This Machine Learning Engineer role at Cash App involves building machine learning models for fraud detection, customer support automation, and underwriting and credit evaluation. The focus is on using AI to understand customer behavior, enhance security measures, and improve financial services. The position requires working closely with product teams and leveraging data to create innovative solutions.
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Seeking an Internet Measurement Researcher to join the applied research team at ThousandEyes. Responsibilities include crafting and refining algorithms to enhance inference capabilities, monitoring performance of various technologies, collaborating with engineering teams, and taking ideas from prototypes to production.
As a Senior Manager in Data Analytics & Technologies in the Healthcare, Pharma & Life Sciences industry at PwC, you will lead teams in solving complex business issues using data analytics. Your responsibilities include aligning client data strategies with their business goals, assisting in platform selection and data migration to cloud environments, and fostering a collaborative and diverse team environment. You will also demonstrate thought leadership in building trusting relationships with stakeholders and driving business development efforts.
The Intrusion Analyst position at CrowdStrike's OverWatch GovCloud team involves analyzing threat actor activity, identifying intrusions, creating detections, and tracking campaigns. The role requires skills in host-based/network intrusion analysis, digital forensics, and cyber threat intelligence to deal with advanced threat actors. The position is fully remote and operates on the 3rd shift.
Looking for a Data Scientist to join the Risk Data Science and Analytics Team at Square. Responsibilities include improving risk controls, managing core operational metrics, advising senior stakeholders, building processes to root out high-risk activity, and preventing fraud. Key tasks involve diagnosing problems, designing experiments, developing data pipelines, and partnering with cross-functional teams to develop solutions. Qualifications include a degree in a quantitative/technical field, 8+ years of experience, proficiency in SQL, Python, and Looker, strong statistics knowledge, and experience with machine learning model development.
Key strategic business partner collaborating with Product Managers and senior stakeholders. Optimizing gross margins, developing financial models, ensuring royalty allocations, responsible for data visualization. Master's degree required. Must have extensive experience in SQL, Python, Spark, and related tools.
Seeking a Program Manager, Training to serve as the owner of the Data/AI learning portfolio, collaborating with internal and external subject matter experts to develop and manage training programs for upskilling needs in data management, analysis, and AI technologies.
Dropbox is seeking a Data Engineer to join the Finance Data Engineering team. The role involves building financial data pipelines, curating datasets, and providing data for business use. Responsibilities include managing data pipelines, ensuring data quality, solving integration problems, and collaborating with business and engineering teams.
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