AI Scientist Full-time

Job Description Summary
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.

Job Description

As a Data Science Specialist, 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.

Education Qualification

Bachelor’s Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with basic experience.

Desired Characteristics
Technical Expertise:

• Demonstrated skill in the use of descriptive statistics to assess quality of industrial datasets
• Experience applying predictive or prescriptive analytics to industrial applications
• Demonstrated awareness of data visualization and storytelling methods for conveying information to stakeholders.
• Experience in image processing algorithms, filtering, resampling, edge detection, histogram transformations, compressions, etc.
• Deep understanding of mathematics, linear algebra, statistics, numerical algorithms, calculus, the background of AI
• Experience with setting up date processing pipelines, data cleaning, sorting, etc.
• Experience in image processing, visualization, and data science related Python packages: NumPy, OpenCV, matplotlib, scikit-learn, pandas, etc.
• Experience in TensorFlow
• Experience with VCS systems, specifically git, and working collaboratively on large codebases

Leadership:

• Demonstrated awareness of how to function in a team setting
• Clear and concise communication
• Ability to work in a team, closely collaborating with team members in a day-to-day fashion

Personal Attributes:

• Demonstrated awareness of how to leverage curiosity and creativity to drive business impact
• Fluent in English, both spoken and written

Desired (optional) Characteristics:

• Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics)
• Minimum 3 years of professional experience in AI development
• Experience in the healthcare industry
• Experience in 3D imaging
• Experience in GPGPU programming
• Software developer background, experience in working with scrum
• Experience in working with a highly regulated and quality controlled development environment
• Experience with Linux (commands, basic bash scripting)
• Experience in writing documented & tested code and algorithms
• Confidence and charisma to report on progress to upper management, and take public speaking opportunities (conferences, workshops, etc.)
• Readily takes ownership of features
• Excellent in Python, with knowledge of the features of the language, and best practices, coding conventions, relevant libraries
• Experience in AI development, specifically with CNNs. Familiar with common network architectures (Inception, ResNet, MobileNet, etc.) and building blocks (FPN, dropout, regularizations, etc.).

Note

For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used.

This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.

Additional Information

Relocation Assistance Provided: No