AI Algorithm Developer
Posted 56mins ago
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Job Description
Sr Data Scientist developing machine-learning and statistical analytics for GE HealthCare’s industrial and infrastructure solutions. Translating algorithms into commercially viable products with cross-disciplinary teams.
Responsibilities:
- Develop analytics to address customer needs and opportunities
- Translate algorithms into commercially viable products and services alongside software developers and engineers
- Develop, deploy, and apply applied, predictive, 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 project artifacts to document, archive, and communicate work and outcomes
- Share and discuss findings with team members
- Participate in cross-disciplinary teams working on large, complex datasets and commercially facing development projects
- Address machine learning, statistical, operational research, semantic analysis, and data understanding problems
Requirements:
- Bachelor's Degree in Computer Science or a STEM major
- For USA-based roles: minimum 4 years of experience
- For roles outside the USA: advanced experience
- Skill in one or more analytic software tools or languages, such as SAS, SPSS, R, or Python
- Skill in data cleansing and data quality assessment
- Skill in applied analytics, descriptive statistics, feature extraction, and predictive analytics on industrial datasets
- Skill in data visualization and storytelling for stakeholders
- Awareness of data management methods
- Awareness of real-time analytics development and deployment
- Awareness of industry and technology trends in 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 succeeding in ambiguous circumstances
- Legally authorized to work in the United States
- Willingness to complete a drug screen, as applicable
Benefits:
- Medical insurance
- Dental insurance
- Vision insurance
- Paid time off
- 401(k) plan with employee and company contribution opportunities
- Life insurance
- Disability insurance
- Accident insurance
- Tuition reimbursement
- Professional development
- Relocation assistance
- Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)

















