Top Remote Senior Level Data Science Jobs in Boise, ID

Lead analytical projects to extract business insights from structured and unstructured data. Develop algorithms using machine learning to predict outcomes and optimize processes. Collaborate with data experts to deliver data-driven solutions for the business.

Seeking a Senior Data Scientist to work on healthcare data analytics projects, develop research questions, perform in-depth analysis, and present findings using data visualization techniques. Requires 5+ years analytical experience in healthcare analytics or population health organizations.

Lead Credit and Data Science functions for Empower's international businesses in Latin America and South East Asia. Develop risk models, credit policies, and launch innovative products. Remote-first company with a focus on leveraging data for business growth and customer financial well-being.

Seeking a Senior Revenue Operations Analyst to optimize revenue generation activities across sales, marketing, and customer success functions. Responsibilities include leading process improvements, building reporting dashboards, and guiding cross-functional teams towards revenue targets for scalable growth.

As a Staff Data Scientist at Kyruus Health, you will identify high-impact business opportunities through data exploration and model prototypes. You will apply ML modeling techniques for complex problems, develop features collaboratively, establish best practices for model deployment, and build ML solutions at scale.

GoodRx is seeking a Lead Data Scientist to lead data science projects around consumer pricing, incentives, and offers. The role involves building forecasting, bidding, and optimization systems that directly impact prices shown to customers and partners. The ideal candidate should have 6+ years of data science experience with a proven track record of technical contributions and a strong understanding of machine learning algorithms and Python.

Responsible for driving Engagement data science work at Instacart, focusing on product strategy and intelligent systems. Required to identify promising opportunity areas, estimate and measure impact, and improve product features with data science methods.