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Freelance Data Scientist Risk Jobs in Layton, UT

Gehc

Service Data Scientist

Salt Lake City, UT · On-site

Summary The Sr Data Scientist will work in teams addressing statistical, machine learning and data ... risk assessment, and operations optimization. In this role, you will: Develop analytics to address ...

GE HealthCare

Service Data Scientist

Salt Lake City, UT · On-site

Summary The Sr Data Scientist will work in teams addressing statistical, machine learning and data ... risk assessment, and operations optimization. In this role, you will: • Develop analytics to ...

Merical Inc.

Nutrition Scientist

Ogden, UT · On-site

$120K - $140K/yr

Access scientific data for quality and compliance risks. * Guide research based on claim(s) and labeling relevance. Regulatory Guidance & Risk Management * Act subject matter expert on supplement ...

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All JobsData Scientist Risk JobsFreelance Data Scientist Risk JobsFreelance Data Scientist Risk Jobs in Layton, UT

Freelance Data Scientist Risk information

See Layton, UT salary details

$34.1K

$111.5K

$178.5K

How much do freelance data scientist risk jobs pay per year?

As of Sep 11, 2026, the average yearly pay for freelance data scientist risk in Layton, UT is $111,516.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,500.00 and $123,600.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Data Scientist Risk vs Freelance Data Analyst Risk?

AspectFreelance Data Scientist RiskFreelance Data Analyst Risk
Required CredentialsAdvanced degrees in data science, statistics, or related fields; certifications like CAP, DASCABachelor's or master's in data analysis, statistics, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentComplex modeling, predictive analytics, machine learning projectsData cleaning, reporting, visualization, basic statistical analysis
Employer & Industry UsageConsulting firms, finance, healthcare, tech companiesBusiness intelligence, marketing, finance, healthcare

Freelance Data Scientist Risk focuses on advanced analytics and predictive modeling, requiring specialized skills and certifications. Freelance Data Analyst Risk handles data reporting and visualization, often with less technical depth. Both roles serve different client needs but share a focus on risk-related data analysis.

What cities near Layton, UT are hiring for Freelance Data Scientist Risk jobs?

Cities near Layton, UT with the most Freelance Data Scientist Risk job openings:

Freelance Data Scientist Risk jobs near you

Service Data Scientist

Salt Lake City, UT • On-site

Gehc
See more jobs at Gehcexternal

Full-time

Re-posted 14 days ago

GE HealthCare rating

8.3

Company rating: 8.3 out of 10

Based on 138 frontline employees who took The Breakroom Quiz

Job description

Job Description SummaryThe Sr Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.Job Description

Roles and Responsibilities

As a Sr Data Scientist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.
In this role, you will:
Develop analytics to address customer needs and opportunities.
Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, 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 other projects artifacts to document, archive, and communicate your work and outcomes.
Share and discuss findings with team members.

Education Qualification

Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with minimum years of experience 4 years

Desired Characteristics

Demonstrated skill in the use of one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)
Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets
Demonstrated skill at data visualization and storytelling for an audience of stakeholders
Technical Expertise:
Demonstrated awareness of data management methods
Demonstrated awareness of real-time analytics development and deployment
Domain Knowledge:
Demonstrated awareness of industry and technology trends in one or more sectors where GE operates
Demonstrated awareness of customer and stakeholder management and business metrics
Leadership:
Demonstrated skill at function in a team setting
Demonstrated awareness of critical thinking and problem solving methods
Demonstrated awareness of presentation and influencing skills
Personal Attributes:
Demonstrated awareness of how to succeed in ambiguous circumstances

We will not sponsor individuals for employment visas, now or in the future, for this job opening. Additional Information

GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is anEqual Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.

Relocation Assistance Provided: No

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