Senior Staff Data Scientist, Enterprise AI
Senior Staff Data Scientist, Enterprise AI
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Job Description
Job Description Summary
As the Senior 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.Job Description
Role Overview
GE HealthCares Chief Data and Analytics Office team delivers innovative data insights and AI solutions for the organization. Our Enterprise AI team works on a diverse portfolio of Machine Learning (ML) AI and GenAI projects by combining agile and entrepreneurial drive with industryleading methods and tools.
As the Senior 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.
Responsibilities
Develop and implement advanced computer vision algorithms and models to solve complex problems across manufacturing quality and supply chain.
Apply computer vision methods to drive manufacturing efficiencies and improve product quality across the GE Healthcare manufacturing network.
Conduct research and stay updated with the latest advancements in computer vision and AI technologies.
Collaborate with crossfunctional teams to integrate computer vision solutions into various applications and products.
Analyze large datasets to extract meaningful insights and improve model performance.
Design and conduct experiments to validate and optimize computer vision models.
Present findings and recommendations to stakeholders in a clear and concise manner.
Collaborate with the MLOps team to establish standards for computer vision model development deployment and monitoring.
Proactively measure and communicate value generation from developed computer vision algorithms to business and IT leaders across GE HealthCare.
Proactively identify new opportunities to further leverage data science solutions prioritizing opportunities with the biggest potential benefit to the business.
Ensure best practice adoption within the Enterprise AI team applying appropriate levels of technical capability standardization and subject matter expertise.
Drive a culture of analytics and factbased decision making through the utilization 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 in decisionmaking and value creation.
Experience Requirements
PhD in Computer Science Data Science Engineering or a STEM related field with a focus on neural networks and computer vision.
Handson experience in developing and deploying computer vision models and applications.
Proficiency in the latest Python AWS Azure and opensource data science tools such as Jupyter R SQL Hadoop Spark TensorFlow Keras PyTorch and Scikitlearn.
Experience with image processing techniques and libraries like OpenCV.
Familiarity with deep learning architectures including CNNs RNNs and GANs.
Expertise in data preprocessing augmentation and annotation for computer vision tasks.
Ability to work with largescale datasets and perform efficient data analysis.
Expertise in transformers selfsupervised learning and generative AI models.
Ability to continuously track evaluate adapt the latest advancements in deep learning techniques and AI/ML research to business use cases across GE HealthCare.
Strong problemsolving skills and the ability to think critically and creatively.
Excellent communication skills and the ability to work collaboratively in a team environment.
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Additional Information
Relocation Assistance Provided: Yes
Required Experience:
Staff IC
Employment Type
Full-Time
