At Gradient AI, you will transform insurance with advanced machine learning and rich data as a Senior-level Data Scientist. You'll help shape the future of underwriting products in healthcare and care management, turning complex data into real customer value. Collaborate with a talented team to research needs, prototype ideas, build production models, and deliver intelligent solutions at scale in a fast-moving environment.
As a Data Scientist, you will be responsible for advancing energy markets modeling to support the clean-tech power revolution. Your strong analytical skills and ability to develop innovative problem-solving solutions will support mission critical decision analytics for renewable and battery storage power providers around the globe. Responsibilities include prototyping new solutions and extending existing models.
As a Machine Learning Engineer, you’ll help design, build, and scale the ML systems that power these decisions. You’ll work closely with data scientists, backend engineers, and operations teams to turn data-driven insights into production-ready models that improve our rider experience every day.
In this entry-level opportunity, you will analyze the performance and impact of AI Copilots & Autonomous Agentic Systems, High-Performance Search & Recommendation, and Decision-Support Tools. You will dive into project data to uncover insights, evaluate model performance from a business perspective, and help translate complex technical results into clear, actionable recommendations for our clients.
Take your love of sports to another level by modeling, simulating, predicting and perfecting the outcomes of sports, teams and the players involved. You will work with an international team of sports modelers to build a range of models to assist with our unique Underdog business. You will build predictive and simulation models to underpin the pricing of a range of our products across major US sports.
This role needs someone with analytical skills, engineering capabilities, and hands-on data manipulation to derive actionable insights, build efficient pipelines, and support data-driven decision-making across teams. Responsibilities include analyzing data, developing pipelines, and optimizing data workflows to improve data availability, quality, and processing efficiency.
Design and implement data science and machine learning solutions that blend cutting-edge research with practical deployment. Working across industries, domains, and use cases, tackle challenging analytical problems, build robust models, and deliver insights that power client-facing tools and internal platforms. Partner with software engineers, analysts, and fellow data scientists to integrate data-driven models into scalable, deployable systems that operate in dynamic production environments.
At Gradient AI, transform insurance with advanced machine learning and rich data. As a Senior Data Scientist, you will help shape the future of our underwriting products in the healthcare or care management space by turning complex data into real value for our customers. Design, develop, and implement predictive models, analyze large datasets, and propose innovative solutions.
The Data Scientist will transform data into strategic insights using machine learning, statistical analysis, and experimentation, conducting projects that impact business decisions and process optimization.
Support the Data Science team by delivering clean, reliable, and automated data processes that support financial decision-making. Transform financial data into financial breakdowns, clean and upload data into Snowflake, and run and improve Python scripts. Write, edit, and optimize SQL queries to support reporting and analysis. Automate manual workflows and support the migration of workflows.