Senior Data Scientist: Applied Analytics & ML Impact

HC1316 GE Precision Healthcare LLC; Salt Lake City (UT); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Professional development

Competitive compensation

Equal Opportunity Employer

Job summary

GE HealthCare in Salt Lake City, UT seeks a Senior Data Scientist to tackle statistical and machine learning problems in a commercial tech and consultancy setting. You will contribute to the development and deployment of modern ML, operational research, and analytics on large data sets.

You will work with software engineers to translate methods into viable products, perform exploratory analyses, and communicate findings to stakeholders, with emphasis on data quality and storytelling in

Qualifications

• Bachelor's degree in Computer Science or STEM majors with minimum 4 years of experience in the USA.
• Proficient in SAS, SPSS, R or Python and data cleansing.
• Experience with applied analytics and descriptive statistics on industrial data.
• Ability to visualize data and tell stakeholder-focused stories.

Responsibilities

• Develop analytics addressing customer needs and opportunities.
• Collaborate with software engineers to translate algorithms into products.
• Work on applied, predictive, and prescriptive analytics in teams.
• Perform exploratory data analyses using descriptive statistics.
• Coordinate with data engineers on data quality and cleansing.
• Generate reports and documentation of methods and outcomes.
• Share findings with team members.

Skills

SAS

SPSS

R

Python

Data cleansing

Descriptive statistics

Predictive analytics

Data visualization

Storytelling

Education

Bachelor's degree in Computer Science or STEM (USA)

Job description

GE HealthCare in Salt Lake City, UT seeks a Senior Data Scientist to tackle statistical and machine learning problems in a commercial tech and consultancy setting. You will contribute to the development and deployment of modern ML, operational research, and analytics on large data sets.

You will work with software engineers to translate methods into viable products, perform exploratory analyses, and communicate findings to stakeholders, with emphasis on data quality and storytelling in