Remote Data Jobs • US

You will architect and implement robust data pipelines and modern analytics platforms, working in close collaboration with cross-functional teams across the US and Brazil. You will be responsible for building scalable data solutions leveraging modern cloud-native tools. Fluent English communication is essential for engaging with our global stakeholders and ensuring alignment across distributed teams.

The Associate Data Scientist will join Arcadia’s Data Science team as a key contributor to the development of machine learning models, customer-facing deliverables, and strategic insights that support data-driven decision-making across the organization. The ideal candidate will bring experience in machine learning techniques, statistical analysis, and healthcare data. Effective communication is critical.

You will use data to drive insight into the product and business with a focus, analyzing large and complex data sets related to web products, with plenty of experiment design and post-hoc analysis to support product improvements and business decisions.

As a Senior Data Scientist, you will build core products: models that identify fraudsters and advance the growing suite of products in financial risk. As an experienced researcher you will be the definitive owner of your respective domain. This full-stack data science role involves model development, analysis, and writing production code.

Focusing on implementing and optimizing Adobe Experience Cloud solutions. Define tracking requirements across web properties. Implement and manage tracking tags using Adobe Customer Journey Analytics. Ensure data quality and accuracy in collected analytics. Analyze user journeys and provide insights to guide business decisions. Collaborate with engineering, product, and analytics teams.

This role will lead a high-impact team that is responsible for defining and delivering company-wide metrics, reporting infrastructure, and performance insights. You will be responsible for combining technical depth, design thinking, and people leadership to enable transparency and accountability across Calendly’s business. The Reporting Analytics function plays a foundational role in building and maintaining the company’s source of truth for business metrics.

The Senior Data Scientist will play a critical role in driving data and machine learning initiatives that fuel innovation and business growth. This role is ideal for a hands-on technical lead who is passionate about solving complex problems using data and building production-grade ML systems. You will work closely with cross-functional teams to design, develop, and deploy scalable data solutions and machine learning models that create measurable business impact.

The Senior Business Analyst will design and implement data architecture solutions that optimize data processes and improve efficiency. You will create and maintain end-to-end data pipelines from streaming platforms like Kafka to ensure real-time data availability. This role involves building and optimizing OLTP & OLAP dashboards, and leading a team of data analysts to deliver high-quality insights to stakeholders. Strong SQL and Python skills are essential.

As a Senior Data Engineer, you will lead the architecture and implementation of complex data systems that power our analytics, clinical decision-making, and care optimization efforts. You’ll design pipelines to move, transform, and validate data from EMRs and other healthcare systems into a warehouse environment optimized for analysis, reporting, and machine learning.

A Head of Data Science & Machine Learning is needed to bring expertise around answering complex business questions with Data Science and operationalizing machine learning models with modern MLOps. Reporting to the VP of Data & Infrastructure and will be responsible for leading Data Science / AI teams.