Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

The Data Scientist will work in teams 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 mission is to improve lives in the moments that matter. 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

Responsibilities

As a 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, working in concert with partners in GE business units. 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:

• Develop analytics within well-defined projects 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
• Share and discuss findings with team members

Qualifications/Requirements

• Bachelor's Degree in Computer Science or STEM” Majors (Science, Technology, Engineering and Math)
• Demonstrated skill in the use of one or more analytic software tools or languages (e.g. SAS, SPSS, R, Python)
• Hands-on experience in data cleansing, data quality assessment, and using analytics for data assessment
• Demonstrated skill in the use of applied analytics, descriptive statistics, and predictive analytics on industrial datasets

Technical Expertise:

• Demonstrated awareness of feature extraction and real-time analytics methods
• Demonstrated awareness of analytic prototyping, analytic scaleup, analytic scaling, and solutions integration

Domain Knowledge:

• Demonstrated awareness of industry and technology trends in data science
• Demonstrated awareness of customer and stakeholder management and business metrics

Leadership:

• Demonstrated awareness of how to function in a team setting
• Demonstrated awareness of critical thinking and problem solving methods
• Demonstrated awareness of presentation skills

Personal Attributes:

• Demonstrated awareness of how to leverage curiosity and creativity to drive business impact