AI Algorithm Developer

GE HealthCare

2d • $109,600 - $164,400

About The Position

The Sr Data Scientist works in teams addressing statistical, machine learning, and data-understanding problems in a commercial technology and consultancy development environment. The role contributes to developing and deploying modern machine learning, operational research, semantic analysis, and statistical methods to find structure in large data sets.

The position is part of a data science or cross-disciplinary team on commercially facing development projects, typically involving large, complex data sets. Teams may include statisticians, computer scientists, software developers, engineers, product managers, and end users, working 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.

The role develops analytics for customer needs and opportunities; collaborates with software developers and engineers to translate algorithms into commercially viable products and services; supports the development, deployment, and application of applied, predictive, and prescriptive analytics; conducts data analyses; collaborates on data quality, cleansing, and analytics; documents and communicates work and outcomes; and shares findings with team members.

Requirements

• Bachelor's degree in Computer Science or a STEM major.
• For U.S.-based roles, a minimum of 4 years of experience.

Nice To Haves

• Demonstrated skill using one or more analytic software tools or languages, such as SAS, SPSS, R, or Python.
• Demonstrated skill in data cleansing, data quality assessment, and using analytics for data assessment.
• Demonstrated skill in applied analytics, descriptive statistics, feature extraction, and predictive analytics on industrial datasets.
• Demonstrated skill in data visualization and storytelling for stakeholder audiences.
• Awareness of data management methods.
• Awareness of real-time analytics development and deployment.
• Awareness of industry and technology trends in one or more sectors where GE operates.
• Awareness of customer and stakeholder management and business metrics.
• Ability to function in a team setting.
• Awareness of critical-thinking and problem-solving methods.
• Awareness of presentation and influencing skills.
• Awareness of how to succeed in ambiguous circumstances.

Responsibilities

• Develop analytics to address customer needs and opportunities.
• Work with software developers and software engineers to translate algorithms into commercially viable products and services.
• Work in technical teams on the 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 project artifacts to document, archive, and communicate work and outcomes.
• Share and discuss findings with team members.

Benefits

• Competitive benefits package including medical, dental, and vision coverage.
• Paid time off.
• 401(k) plan with employee and company contribution opportunities.
• Life, disability, and accident insurance.
• Tuition reimbursement.
• Professional development opportunities.
• Relocation assistance.
• May be eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior