As the Staff Data Scientist, you will be at the forefront of developing and delivering innovative algorithms that generate actionable business insights for key areas within GE HealthCare, including Finance, Commercial, Supply Chain, Quality, Operational Excellence and Lean, and Manufacturing. We are seeking a highly skilled and motivated Data Scientist with experience specializing in computer vision AI applications to join our dynamic team.
Core Responsibilities
Developing and implementing advanced GenAI solutions to solve complex problems across various enterprise domains (finance, HR, quality, supply chain, etc.).
Conducting research and stay up to date with the latest advancements in AI/ML technologies.
Collaborating with cross-functional teams to integrate AI/ML solutions into various applications and products.
Designing and conducting experiments to validate and optimize different solutions.
Collaborating with the MLOps team to establish standards for AI/ML model development, deployment, and monitoring.
Proactively measuring and communicating the value generated from developed solutions to business and IT leaders across GE HealthCare.
Identifying new opportunities to further leverage data science solutions, prioritizing those with the greatest potential business impact.
Ensuring best practice adoption within the Enterprise AI team by applying appropriate levels of technical capability, standardization, and subject matter expertise.
Driving a culture of analytics and fact-based decision-making through the use of standard methodologies and approaches.
Operating as a thought leader and visionary, with the ability to influence executive leaders in the strategic use of ML, AI, GenAI, and advanced analytics for decision-making and value creation.
Required Qualification & Skills
Hands-on experience in developing GenAI solutions (e.g., chatbots, RAG agents, multi-agent systems).
Hands-on experience in enterprise SDLC
Proficiency in modern Python and cloud platforms such as AWS and Azure.
Strong programming skills and experience in application architecture design.
Ability to continuously track, evaluate, and adapt the latest advancements in deep learning and AI/ML research to business use cases across GE HealthCare.
Strong problem-solving skills and the ability to think critically and creatively.
Ability to collaborate with business partners on process analysis and task automation.
Experience working with large-scale datasets and performing efficient data analysis.
Expertise in transformers, self-supervised learning, and generative AI models.
Excellent communication skills and the ability to work collaboratively in a team environment.
Preferred Qualification & Skills
PhD in Computer Science, Data Science, Engineering, or a STEM-related field with a focus on neural networks and computer vision.
Familiarity with deep learning architectures including CNNs, RNNs, and GANs.
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Relocation Assistance Provided: No
