Top Remote Senior Level Data Science Jobs in Portland, OR

Join Butter's ML team to optimize the recovery of failed payments by identifying an optimal sequence of retry attempts using novel techniques. Conduct model iterations and AB tests to enhance product performance. Requires 5+ years of data experience, strong statistics background, and knowledge of ML.

The Principal Scientist will manage and oversee non-clinical and clinical biomarker bioanalysis, including method development, validation, and interactions with specialty labs. Responsibilities include collaboration with cross-functional teams, maintaining quality assurance, and contributing to the development of novel therapeutics. This role requires a strong background in bioanalytics, laboratory management, and the drug discovery process.

As a Sr. Data Scientist at Houzz, you will collaborate across teams to define and launch data science initiatives, manage key business metrics, design experiments, and own project execution to provide actionable insights that drive product development and business direction.

The Field Application Scientist will support sales by providing technical expertise, conducting product demonstrations, and delivering training on LI-COR Biotechnology products. They will manage multiple projects, assist customers with technical queries, and maintain relationships to ensure customer satisfaction.

The Manager of Marketing Data Science will spearhead initiatives in data utilization, predictive modeling, and machine learning to enhance marketing strategies and optimize performance for Dow Jones' Enterprise clients. This role involves collaborating with technology and marketing teams to establish robust data infrastructures and ensure data governance, ultimately driving actionable insights and improving customer retention.

The Lead Research Scientist will drive initiatives to enhance healthcare delivery and outcomes by employing mathematical and data science methods. This involves collaborating with stakeholders to evaluate healthcare programs, transforming complex data into actionable insights, and making recommendations based on data analysis and clinical input.

The Principal Applied Scientist will lead the research and development of recommendation algorithms, focusing on model optimization and system scalability. They will mentor ML engineers, influence AI strategy, and collaborate with teams to enhance product innovation and customer experiences at Wizard.