Senior AI & Analytics Scientist

GE Healthcare; United States; À distance; USD 110 000 - 164 000; Plein temps

Avantages offerts par ce poste

Relocation assistance

Résumé du poste

GE HealthCare seeks a Senior Data Scientist to join cross-disciplinary teams on commercially-facing projects. You will address statistical, machine learning, and data understanding problems, developing and deploying modern analytics for large datasets.

You will collaborate with statisticians, software developers, engineers, and product managers to translate algorithms into viable products and services, applying predictive, prescriptive, and descriptive analytics in real-world industrial contexts.

Qualifications

• Bachelor's degree in CS or STEM Majors with 4+ years of experience in data science.
• Experience using analytic tools and languages (SAS, SPSS, R, Python).
• Ability to develop and deploy analytics for commercial products and services.

Responsabilités

• Develop analytics to address customer needs and opportunities.
• Translate algorithms into commercially viable products with software teams.
• Work on applied, descriptive, predictive, and prescriptive analytics for large datasets.
• Perform exploratory data analyses using descriptive statistics and other methods.
• Collaborate with data engineers on data quality, cleansing, and analytics.
• Document and communicate findings with team members.

Connaissances

SAS

SPSS

R

Python

Data cleansing

Descriptive statistics

Predictive analytics

Data visualization

Formation

Bachelor's Degree in CS or STEM

Description du poste

GE HealthCare seeks a Senior Data Scientist to join cross-disciplinary teams on commercially-facing projects. You will address statistical, machine learning, and data understanding problems, developing and deploying modern analytics for large datasets.

You will collaborate with statisticians, software developers, engineers, and product managers to translate algorithms into viable products and services, applying predictive, prescriptive, and descriptive analytics in real-world industrial contexts.