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Remote Data Scientist Deep Learning Jobs (NOW HIRING)

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Experience with a deep learning framework such as Tensorflow, pyTorch, or equivalent * Experience ...

Nestlé Health Science

Senior Data Scientist

Nestlé Health Science is dedicated to merging nutrition, science, and wellness to empower ... Design deep learning and natural language processing models to analyze complex data across business ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

Demonstrated experience using machine learning, deep learning, statistical methodology, and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Index Analytics

Data Scientist

Windsor Mill, MD · On-site +1

$102K - $144K/yr

Design, develop, and maintain machine learning and deep learning models, including both traditional (e.g., regression, tree-based models) and neural network-based approaches. * Build and deploy end ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... related data types. * Build andoptimizepredictive and generative models (e.g., deep learning ...

Jobgether

Design, develop, and optimize advanced machine learning and deep learning models capable of ... Fully remote position with collaboration across the European CET time zone. * Immediate opportunity ...

INDEX ANALYTICS LLC

Data Scientist

Windsor Mill, MD · On-site +1

Design, develop, and maintain machine learning and deep learning models, including both traditional (e.g., regression, tree-based models) and neural network-based approaches. * Build and deploy end ...

Hirevouch

Data Scientist

... Deep understanding of machine learning and statistical methods with their underlying theory and math • Demonstrated experience in building, deploying, and showing business value from predictive ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ... Proficiency in Python and familiarity with machine learning and deep learning libraries such as ...

Xforia, Inc.

Data Scientist

This role will be responsible for data science and ML Ops on the Databricks platform. This role ... of deep learning frameworks (TensorFlow/PyTorch) o Distributed computing (Spark/Scala) o ...

Addison Group

Sr. Data Scientist

Chicago, IL · On-site +1

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI ... and deep learning methods. • Expertise in feature engineering, model evaluation, and ...

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI ... and deep learning methods. • Expertise in feature engineering, model evaluation, and ...

Pyramid Systems, Inc.

Senior Data Scientist

Overview The Senior Data Scientist is a senior technical leader responsible for executing and ... Apply advanced techniques such as deep learning, ensemble methods, and time series analysis

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Remote Data Scientist Deep Learning information

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

As of Jul 12, 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 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
Senior Data Scientist

Senior Data Scientist

iQuasar LLC

Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 17 days ago

Job description

iQuasaris seeking to fill in a Data Scientist in Reston, VA. At iQuasar we strive to provide the next generation of cutting-edge technologies. Our growth means exciting career opportunities for talented professionals in engineering, software development, and other key areas. We offer competitive compensation and benefits including Health, Vision, and Dental Insurance, matching 401k plan, and other benefits given below, excellent training, and a vibrant working environment. Our employees are exceptional, giving us a competitive advantage by innovating solutions with a strong sense of mission and integrity.
One of our clients in Reston, VA needs a Data Scientist for a permanent position.
  • Position: Data Scientist
  • Clearance: Secret Clearance
  • Location: Reston, VA
  • Position Type: Full Time

Task Description:
This is a full-time 90% remote position, 10% to Brite's office in Reston VA.
Key Responsibilities:
  • Lead development of predictive models using deep learning and classical machine learning algorithms.
  • Build and optimize NLP models leveraging transformer-based architectures (e.g., BERT, GPT).
  • Design and implement Retrieval-Augmented Generation (RAG) approaches for LLM-based applications.
  • Work with vector databases and graph databases for knowledge representation and retrieval.
  • Generate and use simulated data to support training and testing of ML models.
  • Perform data standardization, aggregation, and integration from structured and unstructured sources.
  • Collaborate with cross-functional teams to understand business needs and translate them into ML solutions.
  • Document workflows, produce technical reports, and contribute to academic or industry publications.
  • Use version control tools to manage collaborative model development (e.g., GitHub).
  • Support end-to-end ML lifecycle from data wrangling and modeling to deployment and monitoring.

Required Qualifications:
  • Minimum 8 years of hands-on experience in AI/ML software development using Python and R.
  • Strong background in deep learning, transformer-based NLP, and classical ML.
  • Experience with RAG, LLMs, and embedding-based retrieval systems.
  • Expertise in data wrangling, Web scrapping, data standardization, and feature engineering.
  • Proven experience working with vector databases (e.g., FAISS, Pinecone, Weaviate) or graph databases (e.g., Neo4j).
  • Strong understanding of ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Familiarity with version control systems (e.g., Git, GitHub).
  • Experience with cloud computing platforms (AWS, GCP, or Azure).
  • Demonstrated ability to produce high-quality technical documentation and research publications.
  • Master's degree or Ph.D. in Statistics, Computer Science, or a related quantitative discipline.

Preferred Qualifications:
  • Hands-on experience with SAS, SQL, Amazon RDS, and JIRA.
  • Knowledge of ML Ops practices and model deployment pipelines.
  • Prior experience in contributing to academic or technical publications.
  • Exposure to federal or enterprise-scale projects is a plus.

If you are interested in this position, please send me a copy of your latest resume. Also, please let me know what time/number is best to call to discuss this great opportunity. In case you are not interested in this position, or this is not the right fit for you, please feel free to share this opportunity with your friends/networks or anyone you know who may be interested in this position. Thank you!
  • Availability to start a new job
  • Best Rates
  • Contact

Nia
Recruitment Professional
Representing: Brite Group INC
Direct: (703) 463-9141
Main: (703) 962-6001 Ext.: 621
nia.manzoor@iquasar.com
An Equal Opportunity Employer
"iQuasar is proud to be an Equal Employment Opportunity Employer. We do not discriminate based on race, religion, color, national origin, political affiliation, sex, sexual orientation, gender identity, age, marital/parental /veteran status, disability, genetic information, membership in an employee organization, retaliation, military service, other non-merit factors, or any other applicable characteristics protected by law"
This is a remote position.

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