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Data Scientist Deep Learning Jobs (NOW HIRING)

Guru Schools

Data Scientist

Raritan, NJ · On-site

Overview: - Data Scientist (Contract-Based) Johnson & Johnson is currently seeking a Data Scientist ... deep learning models to solve diverse challenges and opportunities across J&J Conduct proof-of ...

Conversica, Inc

Data Scientist

Seattle, WA · On-site

Conversica is seeking talented and passionate data scientists to help us evolve our artificial ... Training in deep learning approaches and natural language processing * Advanced proficiency with ...

Vytwo

Data Scientist - INDIA

Prosper, TX · On-site +1

Data Science Structured Data / Text Data (NLP & GenAI) About the Role We are seeking a highly ... Text / Unstructured Data (NLP & GenAI) Building lowlatency realtime systems using deep learning ...

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 ...

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 ...

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 ...

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 ...

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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 May 29, 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.

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.

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.

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.

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
Data Scientist Deep Learning/Neural Networks

Data Scientist Deep Learning/Neural Networks

CCS Global Tech

Oklahoma City, OK

Other

Posted 6 days ago

Job description

CCS Global Tech is a rapidly growing Information Technology company with a diverse portfolio of technology products and services and a large network of industry partnerships. With over 22 years of being a successful business with a global talent pool and presence, CCS is a certified Microsoft Gold Partner and specializes in delivering expert Microsoft based solutions for technical and business needs. We have been recognized by Inc. 500 Magazine as one of the fastest growing small companies in the Unites States.
we are a Tier 1 vendor for the City and County of San Francisco for Cloud Services, Staffing Services and Training Services. For this multi-year opportunity with a diverse set of needs to address, we are currently focusing on establishing partnerships with individuals as well as companies who can help us enhance our overall service portfolio, cut lead times, and ultimately help us deliver successfully. We currently hold sizable Government accounts in the San Francisco bay area including City and County of San Francisco, San Mateo County, and Santa Clara County.
We take great pride in our global reach and local influence. Your experience alongside our highly skilled and talented internal team who guide you along the way, offers key insights into what helps you stand out in a competitive job market.
If you are a partner company, please submit resumes with contact information of your own W2 Consultants only. Submitted consultants are expected to have excellent communication skills.

Required Skills & Qualifications:

  • Strong understanding of machine learning and deep learning concepts
  • Hands-on experience with neural networks (CNNs, RNNs, LSTMs, Transformers, etc.)
  • Proficiency in Python and ML/DL libraries such as TensorFlow, PyTorch, Keras
  • Experience with data manipulation tools like Pandas, NumPy
  • Familiarity with model deployment (APIs, cloud platforms like AWS/Google Cloud Platform/Azure)
  • Solid understanding of statistics, probability, and linear algebra
  • Experience working with large datasets and data pipelines

Key Responsibilities:

  • Design and develop deep learning models using neural network architectures
  • Work on end-to-end ML pipelines: data preprocessing, model development, evaluation, and deployment
  • Apply advanced techniques such as CNNs, RNNs, Transformers, or other neural architectures depending on use case
  • Optimize model performance and scalability for production environments
  • Collaborate with cross-functional teams (engineering, product, business) to translate requirements into AI solutions
  • Stay updated with the latest advancements in deep learning and AI research
  • Perform data analysis and feature engineering to improve model accuracy
  • Document models, experiments, and workflows

Preferred Qualifications:

  • Experience with NLP, Computer Vision, or Generative AI
  • Exposure to MLOps tools and frameworks
  • Knowledge of distributed computing (Spark, Hadoop)
  • Experience with version control (Git) and containerization (Docker)

Soft Skills:

  • Strong problem-solving ability
  • Good communication and collaboration skills
  • Ability to work in a fast-paced, agile environment

Apply