Staff Data Scientist
- GE Healthcare
- 8 - 13 years
- Bengaluru
- 2 days ago
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Job Description
Roles and Responsibilities
As a Staff Data Scientist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.In this role, you will:
- Work with customers to capture data and analytics requirements
- Develop, verify, and validate analytics to address customer needs and opportunities.
- Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
- Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
- Perform exploratory and targeted data analyses using descriptive statistics and other methods.
- Work with data engineers on data quality assessment, data cleansing and data analytics
- Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
- Communicate methods, findings, and hypotheses with stakeholders.
Education Qualification
Bachelor's Degree or Masters or PhD in Computer Science or STEM Majors (Science, Technology, Engineering and Math) with a minimum of 8+ Years of experience in AI product development.
Desired Characteristics
Technical Expertise:
- Demonstrated skill in data management methods
- Demonstrated skill in feature extraction and realtime analytics development and deployment
- Demonstrated skill in prescriptive analytics and analytic prototyping
Specific skills include:
- Proficiency in python and deep learning frameworks such such a Tensorflow, PyTorch and openCV
- Expertise in AI image processing and computer vision algorithms, including training and fine-tuning image classification and segmentation models
- Experience with model optimization for latency and throughput in online systems.
- Experience with large-scale CNNs, vision transformers, and self-supervised learning.
- Experience with the full AI lifecycle, including data curation, model development, and model validation for production. Proven ability to collaborate with ML engineers to integrate models into production. Skilled in model validation for product readiness, with a Primary focus on writing production-quality, maintainable code.
- Experience with multimodal data integration and systems combining images, video, and speech is highly desired.
- Experience with cloud computing platform, such as AWS or Azure is highly desired.
- Experience working with robotic simulation is desired.
Domain Knowledge:
- Experience in medical device development is considered a strong asset.
- Experience in medical imaging AI development is highly desired
- Background in robotics or automation technologies is advantageous.
- Background in automated vehicle or robotic guidance is highly desired
- Demonstrated skill in defining and delivering customer value in these areas
Leadership:
- Demonstrated skill at working in a team setting
- Demonstrated skill in critical thinking and problem solving methods
- Demonstrated skill in presentation and influencing skills
Personal Attributes:
- Demonstrated awareness of how to succeed in ambiguous circumstances.
Job Classification
Industry: Medical Services / HospitalFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full timeContact Details:
Company: GE HealthcareLocation(s): Bengaluru
Keyskills: data scientist python data analytics prototyping predictive analytics ai machine learning data cleansing deep learning data quality tensorflow data science computer vision pytorch cloud computing aws opencv azure
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