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Data Scientist Deep Learning Jobs (NOW HIRING)

MM International

Data scientist

Charlotte, NC · On-site

Role: Data scientist Location: Hybrid 3 times a week in charlotte, NC or Atlanta, GA onsite ... Required Qualifications Strong experience in Machine Learning, NLP, Deep Learning, Statistical ...

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

Select and implement appropriate modeling techniques, including classical ML, deep learning ... Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as ...

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

Select and implement appropriate modeling techniques, including classical ML, deep learning ... Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as ...

Nasdaq

Data Scientist - Graduate

Boston, MA · Hybrid

$84K - $147K/yr

Data Scientist At Nasdaq, you'll have the chance to start your career in an environment where ... Demonstrated experience with deep learning (CNNs, RNNs, transformers and other types of Deep Neural ...

Smart Data

15490 Senior Data Scientist II

Cincinnati, OH

$120K - $160K/yr

Senior Data Scientist Location: Cincinnati, OH (Downtown 5x/wk) Years of Experience: 2-10+ TOP ... The ideal candidate will have proven track record of developing deep learning models, expertise in ...

Prophecy Technologies

Data Scientist

Atlanta, GA · On-site

Job Summary: We are seeking an experienced Data Scientist to join our team. The ideal candidate ... Familiarity with NLP, deep learning frameworks, and modern visualization libraries. * Strong ...

NorthEastern

Data Scientist

Portland, ME

$87K - $123K/yr

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Familiarity with deep learning concepts and modern architectures (e.g., convolutional neural ...

Northeastern University

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Familiarity with deep learning concepts and modern architectures (e.g., convolutional neural ...

SOSi

Data Scientist Expert

Fort Eisenhower, GA

This role requires deep proficiency in data science methodologies - including logistic regression, clustering, neural networks, deep learning, and natural language processing to develop, refine, and ...

SOSi

Data Scientist Expert

Gordon, GA · On-site

This role requires deep proficiency in data science methodologies - including logistic regression, clustering, neural networks, deep learning, and natural language processing to develop, refine, and ...

SOSi

Data Scientist Expert

Fort Eisenhower, GA · On-site

This role requires deep proficiency in data science methodologies - including logistic regression, clustering, neural networks, deep learning, and natural language processing to develop, refine, and ...

VTG

Data Scientist

Chantilly, VA

Main responsibilities of data scientists include a strong understanding in statical methods, predictive modeling, machine learning, deep learning, data visualizations, and data management. Depending ...

Walmart

Senior, Data Scientist

South San Francisco, CA

$117K - $234K/yr

We are seeking a Senior Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

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All JobsData Scientist Deep Learning Jobs

Data Scientist Deep Learning information

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$37.5K

$122.7K

$196.5K

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

As of Jun 18, 2026, the average yearly pay for 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 Data Scientist Deep Learning, and why are they important?

To excel as a Data Scientist specializing in Deep Learning, you need a strong background in mathematics, statistics, and programming (often Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, as well as experience in handling large datasets and cloud platforms, is essential, and certifications in machine learning can be advantageous. Analytical thinking, problem-solving, and effective communication are crucial soft skills for interpreting data results and collaborating with cross-functional teams. These skills and qualities are vital for building advanced AI models, deriving actionable insights, and driving innovation in data-driven organizations.

What is the difference between Data Scientist Deep Learning vs Data Scientist Machine Learning?

AspectData Scientist Deep LearningData Scientist Machine Learning
Required CredentialsBachelor's/Master's in CS, Data Science, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; knowledge of algorithms
Work EnvironmentResearch, AI-focused projects, neural network developmentData analysis, predictive modeling, algorithm development
Industry UsageAI, computer vision, NLP, speech recognitionFinance, marketing, healthcare, general analytics
Common Search/ComparisonYesYes

Data Scientist Deep Learning specializes in neural networks and AI-driven models, often working on complex tasks like image recognition and NLP. Data Scientist Machine Learning covers a broader range of algorithms and applications, including predictive analytics and traditional machine learning models. Both roles require strong programming skills and statistical knowledge, but Deep Learning roles focus more on neural network frameworks and AI-specific tools.

What are Data Scientist Deep Learning roles?

Data Scientist Deep Learning roles focus on designing, building, and implementing deep learning models to solve complex problems using large datasets. These professionals apply neural networks and advanced machine learning techniques to tasks such as image recognition, natural language processing, and predictive analytics. They work with programming languages like Python, use frameworks such as TensorFlow or PyTorch, and often collaborate with cross-functional teams to turn data insights into actionable solutions. Strong mathematical, statistical, and programming skills are essential for success in this role.

How do Data Scientist Deep Learning professionals typically collaborate with other teams in a tech organization?

Data Scientist Deep Learning professionals frequently work cross-functionally, partnering with data engineers to prepare and optimize data pipelines, collaborating with machine learning engineers to deploy and scale models, and communicating findings to product managers and stakeholders in accessible terms. This collaborative environment ensures that deep learning solutions are both technically robust and aligned with business goals. Regular meetings and agile workflows help facilitate smooth communication and integration of deep learning models into production systems.
More about Data Scientist Deep Learning jobs
What are the most commonly searched types of Data Scientist Deep Learning jobs? The most popular types of Data Scientist Deep Learning jobs are:
What job categories do people searching Data Scientist Deep Learning jobs look for? The top searched job categories for Data Scientist Deep Learning jobs are:
Data Scientist Deep Learning jobs near you
Infographic showing various Data Scientist Deep Learning job openings in the United States as of June 2026, with employment types broken down into 33% As Needed, and 67% Full Time. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data scientist

Data scientist

MM International

Charlotte, NC • On-site

Contractor

Posted 14 days ago

Job description

Role: Data scientist

Location: Hybrid 3 times a week in charlotte, NC or Atlanta, GA onsite interview needs to occur

Interview- 3 rounds of interviews, last round is onsite
Needs:
Python Development
LLM Experience
ML Experience
Job Description:
Position Summary
Sr. Developer with strong knowledge in AI/ML, NLP, Deep Learning, LLM’s, Gen AI Models, expert in Python scripting language and Libraries, this role is responsible for building or optimizing Data science solutions and help the business to address complex problems. Candidate should be ready to do hands on coding. Not a lead or architect position. It’s a developer position.
Required Qualifications
Strong experience in Machine Learning, NLP, Deep Learning, Statistical Modeling, understanding of machine learning techniques and algorithms.
Strong hands-on in Implementing LLM Models, GEN-AI Models, OpenAI API’s
Strong hands-on design and development experience in Python, expertise in Python preferred
Hands on experience in Large Language Models (LLMs)
Experience with data visualization tools
Worked on the Data analysis libraries like pandas
Experience in web API calls
Strong problem solving, analytical and interpersonal skills
Ability to work effectively in a team environment
Strong written and oral communication skills. Should have the ability to clearly express ideas
Experience working with Agile Methodology
Knowledge on Textual data preprocessing
Generating embeddings/tokenization
Understanding on transfer based models
Fine tuning the pre trained models
Knowledge on GenAI
Knowledge in prompt engineering
Knowledge on text generation
Good at problem solving / Applied Knowledge
Hands on experience in Natural Language Processing (NLP)
Designing pipeline for training and evaluating NLP model
What metrics we use for evaluating the model
Technical implementation (Cloud and On-prem)
Knowledge on deploying the model in production