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)