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Remote Data Scientist Risk Jobs in Wisconsin (NOW HIRING)

About the Role In this role you will work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision making with advanced data analysis and ...

$40/hr

Overview Data Scientist role at DataAnnotation. You will train AI models, measure progress of AI ... REMOTE position You'll be able to choose which projects you want to work on You can work on your ...

$60/hr

This remote position offers a flexible schedule with competitive hourly pay up to $60 per hour. Candidates should have hands-on experience in a quantitative field, coding proficiency, and an English ...

Data Scientist II

Madison, WI · On-site +1

$80K/yr

Data Scientist II Job Summary: The Office of Informatics and Information Technology (IIT) is ... It is anticipated that this position will be remote and requires work be performed at an offsite ...

$40/hr

A remote AI development firm is seeking experienced quantitative professionals to evaluate AI ... Ideal candidates are those with a background in data science or adjacent fields, with strong ...

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... as data science, statistics, economics, finance, physics, biology, epidemiology, operations ...

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Remote Data Scientist Risk information

What are the most commonly searched types of Data Scientist Risk jobs in Wisconsin? The most popular types of Data Scientist Risk jobs in Wisconsin are:
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Remote Data Scientist & AI Validation Specialist

Remote Data Scientist & AI Validation Specialist

DataAnnotation

Oregon, WI • On-site, Remote

$60/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

A leading AI development firm is seeking experienced quantitative professionals to evaluate AI-generated analytical work and design quantitative benchmarks. This role supports remote work and flexible scheduling, with hourly pay of up to $60. Ideal candidates have over 2 years' experience in fields like data science or statistics, and will contribute towards shaping advanced AI systems based on real-world validity.

A bachelor's degree in a quantitative field is preferred. #J-18808-Ljbffr