AI Algorithm Developer

GE HealthCare

. Develop analytics to address customer needs and opportunities .

Posted 10/14/2026full-timeRemote • United StatesMid-LevelSenior💰 $109,600 - $164,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in applied analytics, predictive analytics, and data visualization, with a strong foundation in statistical methods and data quality assessment. Capable of translating complex algorithms into commercially viable products while effectively collaborating with cross-disciplinary teams.

Highest-signal resume keywords

Applied AnalyticsPredictive AnalyticsData VisualizationData Quality AssessmentStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CleansingDescriptive StatisticsFeature ExtractionMachine LearningSASSPSSRPythonReal-Time AnalyticsData Management

Soft Skills

Critical ThinkingProblem-SolvingTeam CollaborationPresentation SkillsInfluencing Skills

Industry Keywords

Customer ManagementBusiness MetricsData AnalyticsCommercially Facing DevelopmentComplex Datasets

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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)