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Remote Data Scientist Deep Learning Jobs (NOW HIRING)

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 ...

hireVouch

Data Scientist

As a Senior Data Scientist, you will play a pivotal role in our data science efforts, with ... Deep Learning, especially Transformers Experience with GLMs, including for actuarial frequency ...

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 ...

Index Analytics

Data Scientist

Windsor Mill, MD · On-site +1

$102.60K - $144.90K/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 ...

Premise Health

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

The Data Scientist leverages machine learning, statistical modeling, and modern AI techniques to ... Understanding of statistical methods, AI/ML algorithms, neural networks, and deep learning concepts

HERE Technologies

Sr Data Scientist

$140K - $160K/yr

In this role, you will leverage vision foundation models, deep learning, and geospatial analytics ... Master's or PhD in Computer Science, Machine Learning, Data Science, Geomatics, Remote Sensing, or ...

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 ...

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 ...

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

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

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 ...

Occulytics Inc.

Deep Learning Engineer

They are seeking a Deep Learning Engineer to build and deploy cutting-edge deep learning models ... data scientists, product managers, and domain experts to understand business requirements ...

Twilio

Staff, Data Scientist

Deep experience with statistical modeling, machine learning, and data analysis techniques. * Strong ... This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. * This role ...

OpenX

Staff Data Scientist

New York, NY · Remote

Serve as a go-to expert in deep learning and related advanced data science domains, with the breadth to guide method selection across adjacent areas * Lead the evaluation and adoption of new AI/ML ...

College Board

Data Scientist, Data Science Team

This is a fully remote role. Candidates who live near CB offices have the option of being fully ... Proven experience in developing Machine Learning (ML) and Deep Learning (DL) solutions to solve ...

Socure

Data Scientist II - Computer Vision

New York, NY · On-site +1

$140K - $170K/yr

About the Role We are seeking a Data Scientist II with strong experience in computer vision and deep learning to join our document verification team. This role is intended for an experienced ...

OpenX

Staff Data Scientist

New York, NY · On-site +1

Serve as a go-to expert in deep learning and related advanced data science domains, with the breadth to guide method selection across adjacent areas * Lead the evaluation and adoption of new AI/ML ...

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All JobsRemote Data Scientist Deep Learning Jobs

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 May 31, 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
Infographic showing various Remote Data Scientist Deep Learning job openings in the United States as of May 2026, with employment types broken down into 85% Full Time, 9% Part Time, and 6% Contract. Highlights an 18% Physical, 27% Hybrid, and 55% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
DATA SCIENTIST

DATA SCIENTIST

Adidev Technologies Inc

Austin, TX • Remote

Full-time

Posted 9 days ago

Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred

  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME

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