Senior Staff Data Scientist job opportunity at GE HealthCare.

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GE HealthCare Senior Staff Data Scientist
Experience: 5-years
Pattern: full-time
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loacation IND19-01-Bengaluru-EPIP 122 (Phase II), India
loacation IND19-01-Benga..........India

Job Description Summary The Sr Staff Data Scientist will work in and lead teams as technical domain expert addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets. GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world. Job Description Role Overview GE HealthCare is accelerating its transformation through a series of strategic “Big Bets” in Commercial excellence, Logistics optimization, Inventory management, and Manufacturing innovation. The Enterprise AI team, part of the Chief Data and Analytics Office, is at the forefront of delivering robust, enterprise-grade AI and ML solutions that drive measurable business impact at scale. As a Senior Staff Data Scientist, you will play a pivotal role in shaping and executing our AI strategy. You’ll collaborate across a unified, cross-functional delivery organization—partnering with experts in data engineering, ML engineering, analytics, GenAI development, and Corporate Finance—to solve complex business challenges and deliver scalable solutions. Core Responsibilities Enterprise Solution Delivery: Architect and implement AI/ML solutions that operate at scale, supporting GE HealthCare’s strategic priorities and Big Bets. Integrated Collaboration: Work seamlessly with colleagues in data engineering, ML engineering, analytics, GenAI, and Corporate Finance to deliver cohesive, end-to-end data science solutions. Applied Data Science: Tackle a diverse range of business challenges, from optimizing supply chains and inventory, to enhancing commercial strategies and manufacturing processes. Your work may span areas such as predictive modeling for demand and pricing, customer engagement analytics, sales performance optimization, and the application of computer vision and digital twin technologies to drive operational excellence. Technical Leadership: Champion best practices in model development, deployment, and monitoring. Promote MLOps and engineering standards for scalable, reliable solutions. Business Outcomes: Ensure data science projects deliver measurable value, such as revenue growth, operational efficiency, inventory optimization, and improved financial performance. Thought Leadership: Stay current with advancements in ML, GenAI, and analytics. Identify new opportunities for innovation and influence executive leaders in strategic technology adoption. Experience Requirements Experience: 5+ years of direct AI/ML experience with demonstrated success building and deploying enterprise-grade solutions at scale. Relevant Expertise: Proven ability to apply advanced analytics and machine learning to solve real-world problems in areas such as forecasting, pricing, customer analytics, sales planning, computer vision, and operational optimization. Education: Masters/PhD in Computer Science, AI, Data Science, Applied Mathematics, or related field. Technical Skills: Proficiency in ML algorithms, GenAI frameworks, and data engineering. Experience with Python, AWS, Azure, and open-source tools (R, SQL, Spark, TensorFlow, Keras, PyTorch, Scikit-learn). MLOps & Engineering: Demonstrated ability to deploy, monitor, and maintain ML and GenAI models in production environments. Industry Knowledge: Understanding of analytics practices relevant to commercial operations, logistics, inventory management, manufacturing, and finance. Communication: Strong ability to convey complex technical concepts to non-technical stakeholders and senior executives. Interpersonal Skills: Proven success working in cross-functional, hybrid, and virtual teams. Ethics & Integrity: Commitment to ethical data science practices. Travel: Willingness to travel for business meetings as needed. Inclusion and Diversity : GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support. Additional Information Relocation Assistance Provided: No

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