The Junior Data Scientist will collaborate with a multidisciplinary team to develop, integrate, and optimize machine learning and generative AI models. They will also be responsible for analyzing client data, preparing datasets, and documenting technical approaches to ensure reproducibility.
You will translate business problems into analytical work and explore data to build AI-driven solutions. Additionally, you will design experiments to measure performance and collaborate with engineers to deliver client solutions.
The analyst will prepare and structure complex health datasets to power reporting, forecasting, and economic evaluations. They will also develop statistical models and communicate actionable insights to clients to support strategic decision-making.
You will lead end-to-end qualitative and quantitative research efforts to inform product design and business strategy. This involves collaborating with data scientists and designers to synthesize insights from user interviews, product analytics, and AI prototype testing.
Develop innovative software solutions for healthcare clients, covering the full stack from frontend to infrastructure and CI/CD pipelines. Provide technical project management and mentor junior colleagues while collaborating with multi-disciplinary teams.
Lead product strategy and design for complex B2B clients, focusing on AI-integrated experiences and data-heavy interfaces. Contribute to the firm's design practice through mentoring, methodology development, and supporting business development efforts.
Design and deploy production-ready AI systems and autonomous agents, primarily for healthcare clients. Lead technical architecture decisions and mentor team members on AI/ML best practices.
