AI Algorithm Developer

🕒 5 days ago

🇺🇸 United States – Remote

💵 $109.6k - $164.4k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🖥 Software Engineer

🦅 H1B Visa Sponsor

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Logo of GE HealthCare

GE HealthCare

10,000+ employees

Founded 1892

🏥 Healthcare

💊 Pharmaceuticals

Healthcare • Medical Technology • Pharmaceuticals

GE HealthCare is a leader in precision care, dedicated to providing innovative technologies and integrated solutions that enhance healthcare services. As a stand-alone company, it focuses on imaging, ultrasound, and healthcare IT, empowering clinicians and improving patient outcomes through advanced medical technologies and personalized care solutions. With a significant investment in research and development, GE HealthCare aims to transform healthcare by making hospitals more efficient and therapies more precise.

📋 Description

• 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)

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