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Remote Data Scientist Deep Learning Jobs (NOW HIRING)

Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to ... If you have a passion for designing and implementing advanced machine learning and deep learning ...

Senior Data scientist

$270K - $290K/yr

Research and evaluate advanced deep learning architectures and training techniques, including ... We are a fully remote company and we believe in taking care of our employees. As a Pipe employee ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... Select and implement appropriate modeling techniques, including classical ML, deep learning ...

Strong Time Series forecasting, ML, deep learning and standard statistical methods to evaluate models. Experience working on supply chain projects. We are seeking a highly skilled Data Scientist to ...

General information Job Posting Title Data Scientist (Remote) Date Tuesday, August 4, 2026 City ... learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and ...

Strong practical experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch ... Fully Remote * Equity options * Health Insurance * Dental Insurance * Paid sick time * Paid time ...

... on deep learning and LLM approaches • Stay abreast of leading-edge technologies in machine ... or data science: data analysis, algorithm design, model architecture specification, machine ...

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Demonstrated professional or academic experience with deep learning frameworks such as PyTorch ...

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Demonstrated professional or academic experience with deep learning frameworks such as PyTorch ...

As a Data Scientist, you will be working with our engineering team to model complex problems and ... Experience with training and deploying NLP deep learning models * Exceptional skills in Python, SQL ...

Team members who choose virtual / remote work should have an adequate space to serve as their home ... deep learning models to forecast demand. These models will enable branch-level decision-making ...

Team members who choose virtual / remote work should have an adequate space to serve as their home ... deep learning models to forecast demand. These models will enable branch-level decision-making ...

Team members who choose virtual / remote work should have an adequate space to serve as their home ... deep learning models to forecast demand. These models will enable branch-level decision-making ...

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Remote Data Scientist Deep Learning information

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$122.7K

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

As of Sep 11, 2026, the average yearly pay for remote data scientist deep learning in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 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.
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Infographic showing various Remote Data Scientist Deep Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Remote Data Scientist

Manhattan, NY • Remote

Strategic Employment
Recruiting and Staffing Services • 51 - 200 employees

Full-time

Posted 8 days ago


Job description

We're hiring a Remote Data Scientist for a fast-growing, well-funded fintech company. This is a hands-on, non-client-facing seat on a small data team - you'll apply Python, SQL, and applied statistics/ML to real product and risk questions, working closely with engineers and analysts, and presenting those findings to internal and external stakeholders.

Requirements:

  • Solid Python and SQL experience
  • Foundational statistics (hypothesis testing, regression analysis, experimental design)
  • Applied ML exposure (e.g. scikit-learn)

Pluses:

  • Experience working in a start-up or on a fast paced team
  • Statistical Risk modelling experience

Location: Remote - this client is based in NYC and would love to find a candidate in the NY area who can come in now and then, but they're open to anyone located in the US.  

Salary: 150K- 200K DOE!


Strategic Employment Partners logo

About Strategic Employment Partners

Sourced by ZipRecruiter

Strategic Employment Partners (SEP) was founded in 2007, serving companies in the Greater Los Angeles area by providing Technology Recruiting and Placement Services. With the combined experience of our seasoned professionals, SEP quickly began to build strong partnerships and provide curated talent for some of the largest and fastest growing companies in Los Angeles. Since then, SEP has expanded its operations and currently has eight divisions nationwide.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2006

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