As an intern, you will have the opportunity to research and build autonomous systems in predictive maintenance by applying statistical methods and AI/ML techniques. The objective of this research is to collect historical and real-time data of cloud workloads and use AI/ML techniques to analyze the data to predict system failure and recommend solutions.

As a Data Scientist II (Risk Adjustment Analytics) you will work with business teams, clinical staff, and data colleagues to help develop data pipelines, models, reports and analytics that will shape our Risk Adjustment processes. The Risk Adjustment Analytics Data Science team is responsible for accurately modeling the health status and clinical risk of members.

Design, build, and operate our foundational data-heavy services: storage (cloud data warehouse, data lake), orchestration (Airflow), batch processing (Spark, SQL), streaming services (Kafka), query federation and caching, time-series db, graph db, and real-time event aggregation stores. Build and maintain data integration & process SDKs for use by internal services and product teams throughout Coinbase.

Join Monte Carlo as a Solutions Architect, where you'll be a strategic technical counterpart to the Success team, defining project scope and delivering Monte Carlo implementations for enterprise customers; you'll need 3-5 years of experience in a technical role and a firm understanding of cloud data warehousing and SQL.

Pioneer advanced AI solutions that are transforming healthcare, collaborate closely with a talented team of PhD researchers, ML engineers, and healthcare experts to create models that directly enhance human efficiency and precision in complex operational workflows across the healthcare system. Empower healthcare professionals with tools that amplify their capabilities.

Assist in the development and delivery of AI projects, helping our engineers and researchers deliver on AI initiatives aligned with our strategic business goals. Conduct research and analysis on industry trends, emerging technologies, and AI applications to inform client solutions. Support the design and implementation of AI projects, including data preparation, model selection, and deployment.

Be part of the team responsible for developing and enhancing Oportun’s core intellectual property used in scoring risk for underbanked consumers that lack a traditional credit bureau score. You will be on the cutting edge working with large and diverse alternative data sets and utilize machine learning and statistical modeling to build scores and strategies for managing risk, collection/loss mitigation, take-up rates and fraud.

The Data Analyst will primarily support the Go-To-Market (GTM) teams by providing insights and reporting to drive strategic decision-making. Responsibilities include developing and maintaining dashboards, analyzing marketing and sales data, and collaborating with stakeholders to define key metrics. The ideal candidate will have strong analytical skills, SQL experience, and a passion for translating data into actionable business insights.

This role develops and scales business intelligence and analytics capabilities. The individual will oversee both technical and strategic aspects of BI, including data modeling, architecture, reporting, and insights. This position is a key partner across multiple teams, delivering high-quality dashboards, data models, and actionable insights to support decision-making.

Design, develop, and deploy machine learning models to identify fraudulent activity, unlock higher limits for good users, and decision on transactions. Collaborate with cross-functional teams, including product and engineering, to identify new opportunities to solve business problems through data science & ML. Communicate complex machine learning concepts and results to both technical and non-technical stakeholders.