Thrive Market's Data Engineering team is seeking a Senior Data Engineer to build high-impact products alongside their Data Strategy Team. In this role, you will orchestrate data engineering solutions, collaborate with technical teams, and resolve production data issues. This role needs someone who is excited about the mission and the tech behind the company.

You will be key in quantifying and communicating the value of Included Health to our clients. You will play a crucial role within the Growth & Retention Insights team which is responsible for supporting revenue retention and growth of our enterprise and health plan business segments. Translate findings of complex analyses into actionable recommendations for clients.

The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects. The Data Scientist must also be able to communicate complex quantitative analyses in a clear, precise, and actionable manner to management and executive level audiences.

The Principal Data Architect will lead the design and implementation of complex cloud-based data solutions. The ideal candidate will have a deep understanding of cloud data and analytics technologies and define strategic roadmaps and targeted outcomes for clients. This role involves overseeing data standards, participating in technical interviews, and providing technical guidance to architects and engineers.

As a Senior data analyst, you will play an integral role in financial, clinical, or eCommerce reporting. You will touch all aspects of the business in order to provide clear and solid reports that create a single source of truth, as well as surface actionable insights for business improvement. As a fast-growing company, we are ingesting and generating ever-increasing amounts of data.

Design, build, and maintain scalable, reliable, and secure data infrastructure that powers analytics, machine learning, and data-driven applications across the company. You’ll collaborate closely with data analysts, data scientists, and infrastructure engineers to enhance data accessibility, governance, and efficiency. Play a key role in shaping the future of our data ecosystem.

As Casechek’s Data Analytics Engineer, you will be responsible for building and optimizing data pipelines, developing robust data models, and enhancing analytics capabilities; you will partner with business teams to design scalable solutions and implement end-to-end analytics solutions using modern technical stack.

The Senior Data Scientist develops models and runs analyses to enhance business operations and support Oscar's goals. You will report to the Lead Data Scientist. The role involves researching, developing, and maintaining data pipelines, statistical/ML models, and/or advanced analyses.

Work in an interdisciplinary team to study clinical and molecular profiles in cancer to learn new insights into our data. The successful candidate will carry out data analysis, and apply best-in-class cBio and AI algorithms - or develop new algorithms that directly address important biological and clinical questions.

Make a significant impact by supporting Flex for Good with cutting-edge data science and machine learning solutions. Design and deploy advanced statistical and machine learning models to identify renters at risk of eviction, optimize resource allocation, and measure program outcomes. Collaborate with cross-functional teams to solve high-impact challenges.