Role overview
As a Sr 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 data scientists, statisticians, computer scientists, ML engineer, MLOps, DevOps, subject matter engineers, product managers, and end users, working in concert with partners in GE Healthacare business units. Potential application areas include predictive and prescriptive maintenance, remote monitoring and diagnostics across infrastructure and industrial sectors, and operations optimization.
What you'll work on
- Develop analytics to address customer needs and opportunities.
- Work alongside ML engineers, MLOps and Service Analytics 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.
- Share and discuss findings with team members.
What we're looking for
- Master’s degree in applied mathematics, computer science or data science with advanced experience.
- Demonstrated skill in the use of one or more analytic software tools or languages (e.g., Python, data science libraries, Keras/Tensorflow, PyTorch, LLM frameworks)
- Familiar with Agile techniques
- Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
- Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets
- Demonstrated skill at data visualization and storytelling for an audience of stakeholders
- Demonstrated awareness of data management methods
- Demonstrated awareness of real time analytics development and deployment
Tags & focus areas
Used for matching and alerts on DevFound Remote Machine Learning Deep Learning Data Science Mlops Ai