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Remote Data Scientist Deep Learning Jobs in Macon, GA

Data Architect

Warner Robins, GA · On-site +1

$86K - $198K/yr

Remote Work: Hybrid Job Number: R0243613 Location: Warner Robins,GA,US Share job via: Share Data ... Bachelor's degree in Computer Science, Data Science, or Information Technology Nice If You Have:

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

This internship is primarily a remote opportunity. However, if you are located near one of our ... your learning experience through additional internship seasons Why Join Workiva Workiva is the ...

Remote (opportunity to work from our SF office) The Role We are looking for a high-potential ... Develop a deep understanding of the company's products, business model, technical environment, and ...

... deep experience with drafting, reviewing, negotiating, and redlining within the tech field. In this ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

... deep experience with drafting, reviewing, negotiating, and redlining within the tech field. In this ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

General Counsel - Remote

Macon, GA · Remote

$90 - $130/hr

... deep experience with drafting, reviewing, negotiating, and redlining within the tech field. In this ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

AI Legal Counsel - Remote

Macon, GA · Remote

$90 - $130/hr

... deep experience with drafting, reviewing, negotiating, and redlining within the tech field. In this ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Legal AI Trainer - Remote

Macon, GA · Remote

$90 - $150/hr

... deep experience with drafting, reviewing, negotiating, and redlining within the tech field. In this ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

... deep experience with drafting, reviewing, negotiating, and redlining within the tech field. In this ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

... deep experience with drafting, reviewing, negotiating, and redlining within the tech field. In this ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

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Showing results 1-20

Remote Data Scientist Deep Learning information

See Macon, GA salary details

$36K

$117.7K

$188.5K

How much do remote data scientist deep learning jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote data scientist deep learning in Macon, GA is $117,714.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $130,400.00 per year, depending on experience, location, and employer.

What is a remote data scientist 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.

What are the key skills and qualifications needed to thrive as a remote data scientist specializing in deep learning?

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 job categories do people searching Remote Data Scientist Deep Learning jobs in Macon, GA look for?

The top searched job categories for Remote Data Scientist Deep Learning jobs in Macon, GA are:

What cities near Macon, GA are hiring for Remote Data Scientist Deep Learning jobs?

Cities near Macon, GA with the most Remote Data Scientist Deep Learning job openings:

Summer 2027 Intern - Machine Learning Engineering

Workiva

Macon, GA • On-site, Remote

$40/hr

Full-time

Retirement

Posted 4 days ago


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 247 rated software companies


Job description

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management and Analytics organization. This is an excellent opportunity to gain hands-on experience in the machine learning lifecycle.

What You'll Do

  • Participate in discovery, requirements gathering, and prototyping of new tools and libraries
  • Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer
  • Help integrate tools such as LlamaIndex and LlamaParse into existing workflows
  • Assist in building and deploying AI Agents to automate data processing and analysis tasks
  • Participate in code reviews
  • Implement and update tests (unit, integration)
  • Track tasks and complete status updates using internal tools
  • Work in an Agile development methodology alongside your teammates

What You'll Need

Minimum Qualifications

  • Currently pursuing a bachelor’s degree or higher in Statistics, Mathematics, Computer Science, Physics, Electrical Engineering, or related field of study
  • Possess solid programming skills
  • Basic experience with source control systems such as Git

Preferred Qualifications

  • Work effectively within a geographically distributed team
  • Demonstrate strong communication and organizational skills
  • Familiarity with the data science lifecycle and basic machine learning concepts
  • Experience with containerization tools such as Docker and Kubernetes
  • Knowledge of cloud platforms such as AWS
  • Proficiency with Python and/or Go
  • Familiarity with REST APIs

Travel Requirements & Working Conditions

  • Minimal travel
  • Reliable internet access for any period of time working remotely, not in a Workiva office

Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.

When can you expect to hear back?

We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!

Postings close: September 27, 2026

Engineering postings close: October 2, 2026

Interviews: Early to mid October

Offers: Late October

2027 Start Dates:

This position has opportunities to start in the Spring or Summer. Please see our start dates below and let us know your availability in your application.

  • Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)
  • Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max)

How You’ll Be Rewarded

Salary range in the US: $40.00 - $40.00 401(k) participation and match

Paid sick leave

A unique opportunity to further your learning experience through additional internship seasons

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com .

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.


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