Senior Staff Data Scientist
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Monthly Salary:
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
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 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. Youll collaborate across a unified cross-functional delivery organizationpartnering with experts in data engineering ML engineering analytics GenAI development and Corporate Financeto 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 HealthCares 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.
Ourtotal rewardsare 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 youd expect from an organization with global strength and scale and youll be surrounded by career opportunities in a culture that fosters care collaboration and support.
Additional Information
Relocation Assistance Provided: No
Required Experience:
Staff IC
Key Skills
- Laboratory Experience
- Bioinformatics
- Biochemistry
- Utility Locating
- Assays
- Research Experience
- Next Generation Sequencing
- Sensors
- Signal Processing
- Matlab
- Research & Development
- Molecular Biology
About Company
GE HealthCare provides digital infrastructure, data analytics & decision support tools helps in diagnosis, treatment and monitoring of patients
