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Remote Data Scientist Deep Learning Jobs in Wisconsin

KOHLS

Data Scientist II (Remote)

Menomonee Falls, WI · On-site +1

Develop and implement statistical and machine learning models * Fine-tune, optimize and ensure the ... Translate data science outputs into business outcomes and value delivered * Mentor and guide junior ...

Wisconsin

Data Scientist II

Madison, WI · On-site +1

$80K/yr

It is anticipated that this position will be remote and requires work be performed at an offsite ... analysis, machine learning, and data mining * Organizes and automates project steps for data ...

DataAnnotation

$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 ...

DataAnnotation

$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 ...

DataAnnotation

$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 ...

DataAnnotation

$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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What are the key skills and qualifications needed to thrive as a Remote Data Scientist specializing in Deep Learning, and why are they important?

To thrive as a Remote Data Scientist specializing in Deep Learning, you need a strong background in mathematics, statistics, programming (especially Python), and experience with deep learning frameworks such as TensorFlow or PyTorch, often supported by a relevant degree. Familiarity with cloud platforms (e.g., AWS, GCP), version control systems like Git, and certifications in machine learning are highly beneficial. Strong analytical thinking, problem-solving abilities, and effective remote communication skills help you stand out in this position. These skills and qualities are essential for designing robust models, collaborating with distributed teams, and delivering impactful AI solutions.

How do Remote Data Scientists specializing in Deep Learning typically collaborate with cross-functional teams?

Remote Data Scientists in Deep Learning often work closely with software engineers, product managers, and domain experts through virtual meetings, shared documentation, and version-controlled code repositories. They collaborate on defining project goals, sharing model insights, and integrating machine learning solutions into products. Effective communication and clear documentation are crucial, as team members may be in different time zones or have varying technical backgrounds. Tools like Slack, JIRA, and GitHub are commonly used to streamline collaboration and track progress.

What are remote data scientists specializing in deep learning?

Remote data scientists specializing in deep learning are professionals who use advanced machine learning techniques, particularly deep neural networks, to analyze large amounts of data and extract meaningful insights. They work from remote locations, leveraging digital tools to build, train, and deploy deep learning models for tasks such as image recognition, natural language processing, and predictive analytics. These experts collaborate with other team members virtually, contributing to projects in industries like healthcare, finance, and technology without needing to be physically present in an office.
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Remote Data Scientist Deep Learning jobs near you
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

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