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Data Scientist Deep Learning Jobs (NOW HIRING)

Sarian, Inc.

Sr. Data Scientist

Irving, TX · On-site

Role: Data Scientist Location: Irving, TX - Fulltime Position Data Scientist with Generative AI ... Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning ...

Inherent Technologies

Data Scientist

Chandler, AZ · Remote

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 ...

Tenex.AI Inc

Senior Data Scientist

San Jose, CA · On-site

Stay up-to-date on state-of-the-art research in data science, deep learning, and security-specific AI to drive platform innovation. * Explore novel statistical methods and machine learning techniques ...

TekLeaders, Inc

Data Scientist

Columbus, OH · On-site

Role: Data Scientist Location: Columbus, OH - Only Locals Duration: Long Term Duties and ... Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial ...

Mindlance

Data Scientist

Holtsville, NY

Strong foundation in machine learning, deep learning, and AI frameworks. * Familiarity with tools and platforms such as TensorFlow, PyTorch, Databricks, Google BigQuery, and cloudbased AI services ...

Apex Informatics

AI Data Scientist

... 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 ...

Augment

Principal Scientist, Data

Houston, TX

$80 - $83/hr

Data Scientist - AI/ML Focus Worksite: Onsite Monday-Thursday (Mandatory) - Houston, TX Must-Have ... Design, train, fine-tune, and evaluate machine learning and deep learning models--including LLMs ...

JS Consulting

Data Scientist

Washington, DC · On-site

Work or educational background in one or more of the following areas: machine learning, computational linguistics, deep learning, ratification intelligence, data science and/or data analytic ...

Agile Tech Labs

Data Scientist

Detroit, MI · On-site

Job Title: Data Scientist Job Location: Detroit, MI (Hybrid) Job Type: Contract * Develop and ... Strong experience with Machine Learning, Deep Learning, and NLP. * Proficiency in Python.

Cypress HCM

Data Scientist

San Jose, CA

$105.63/hr

Data Scientist Job Details * Data Scientist (Contract) * Location: San Jose CA 95110 (Hybrid ... The ideal candidate will have deep technical skills, a passion for delivering compelling customer ...

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

$48 - $62/hr

Initiate and lead novel research in machine learning and AI, especially in deep learning, large ... Mentor junior data scientists and promote best practices in experimentation, reproducibility, and ...

KORE1 Technologies

Principal Data Scientist

Duarte, CA · On-site

$48 - $62/hr

Initiate and lead novel research in machine learning and AI, especially in deep learning, large ... Mentor junior data scientists and promote best practices in experimentation, reproducibility, and ...

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

Initiate and lead novel research in machine learning and AI, especially in deep learning, large ... Mentor junior data scientists and promote best practices in experimentation, reproducibility, and ...

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All JobsData Scientist Deep Learning Jobs

Data Scientist Deep Learning information

See salary details

$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.

Sr. Data Scientist

Sarian, Inc.

Irving, TX • On-site

Full-time

Posted 19 days ago

Job description

Role: Data Scientist
Location: Irving, TX - Fulltime Position
Data Scientist with Generative AI Expertise
  • Programming languages: Python (proficient) with major ML libraries
  • Experience with opensource Gen AI LLMs e.g., Llama and Dolly
  • Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning, neural networks, transformers
  • Generative AI techniques: Experience with GANs, text-to-image generation, text generation models
  • Data wrangling & manipulation: SQL, data cleaning, feature engineering
  • Hyperscale's: AWS, Azure, or GCP experience a plus
  • On prem and cloud development projects with CI/CD Experience
  • Design, develop, and implement advanced AI solutions to solve complex business problems across various domains.
  • Collaborate with engineers, researchers, and product managers to understand business needs and translate them into technical specifications for AI models.
  • Gather, clean, and prepare data for training and evaluating sophisticated AI models, ensuring data quality and ethical considerations.
  • Explore and implement state-of-the-art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs
  • Evaluate and compare different AI model architectures and hyperparameters to optimize performance, address potential biases, and ensure responsible development

Muralikrishna
Sarian Solutions, Inc.
Ph: +1 732-790-2266 X 201
murali.k@sariansolutions.com | https://www.sarianinc.com/

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