Support the team’s efforts in building both statistical and predictive models that help us identify trends and better operate our business. Design, develop, and deploy predictive models to enhance decision-making and improve healthcare outcomes. Conduct in-depth statistical analyses to derive actionable insights from complex datasets.
Looking to build the next generation of data pipelines and applications across the development of innovative new systems and solutions using a rapidly changing landscape of emerging technologies, including generative AI and large language models. Primary focus will be building reliable, scalable, and efficient pipelines for use in LLMs and crafting our vision for LLM analytics. Responsible for designing, building, and scaling data pipelines across a variety of source systems.
As ML Lead, you’ll drive the strategy, architecture, and execution of our ML initiatives - from recommendation systems to predictive analytics. You’ll have a chance to lead a small ML team (starting with hands-on work), define best practices, and build systems that directly impact the product and business outcomes.
As an ML Engineer, you’ll be part of a small, focused team building the foundation of our ML systems. You’ll work on impactful product features, collaborate with engineers and analysts, and have the freedom to experiment and learn. You will Develop and deploy ML models to power features like product recommendations, personalization, and demand forecasting.
We are looking for a motivated and skilled Data Engineer with a solid foundation in data pipeline development, geospatial data handling, and optimization algorithms. This role involves working with cutting-edge technologies including 3D simulation platforms, real-time data integration, and advanced optimization tools. You will contribute to the design, implementation, and optimization of data-driven solutions within simulation environments.
Reporting to the Senior Manager of Development and Operations you will be an expert in Design and Developing end-to-end data solutions from source data ingestion, ETL process, visualization, and to business insights delivery. You will identify automation opportunities in existing data pipelines and propose design of the automation process, collaborate with Engineering teams, write secure, stable, testable, and maintainable Python code, and troubleshoot data.
Help Orita handle massive amounts of data efficiently and reliably. Play a crucial role in unifying our data pipeline with an event taxonomy and normalization layer, ensuring our machine learning models have high-quality data to work with. Enhance our data infrastructure and drive innovation in our data processing capabilities.
As a Senior Data Engineer II, you will play a pivotal role in designing, building, and maintaining our cutting-edge data LakeHouse platform. You will leverage open table formats like Apache Iceberg to create scalable, reliable data solutions that enable optimized query performance across a broad spectrum of analytical workloads and emerging data applications.
As a Principal SQL Engineer, you’ll lead the charge in modernizing our technology stack, fostering a data-driven culture, and advancing our adoption of AI-driven solutions. Your role will involve developing and optimizing backend systems using MySQL and Python, as well as integrating AI and automation to streamline data workflows and generate deeper insights. This is a high-visibility role, and you’ll have the opportunity to shape the company’s future direction.
As Data Scientist with Imagine Pediatrics, be part of a growing team and business utilizing foundational Data Science to support the health and lives of children with special healthcare needs. This role is critical to understanding the power of our data and how we can leverage insights to directly impact patient care.