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Data Scientist Deep Learning Jobs (NOW HIRING)

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 ...

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 · 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 ...

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 ...

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 ...

Nasdaq

Data Scientist - Graduate

Boston, MA · On-site

$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 ...

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 ...

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 ...

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 ...

Costco

IT Data Scientist

Issaquah, WA

The Data Scientist is responsible for identifying insights from data through machine learning, deep learning, and AI to augment decision making by the business. At Costco, we are on a mission to ...

NorthEastern

Data Scientist

Portland, ME

$87.79K - $124K/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 ...

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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
Senior Data Scientist

Senior Data Scientist

Consultant Specialists, Inc. (CSI)

South San Francisco, CA

Other

Posted 12 days ago

Job description

Data Scientist (#40352)

W2 ONLY Onsite in South San Francisco

No C2C.

No 3rd Party Contact

On Site/In Person interview is required

Master's Degree or higher required


We are seeking a Senior Data Scientist (Level II) to support high-impact AI/ML initiatives within a regulated environment.


About the Role

Contract Data Scientist role Onsite/Hybrid in South San Francisco. This is a Hybrid role requiring 3 days a week ONSITE in South San Francisco from Day 1. An ONSITE interview is also required. If you are available and interested in being submitted for this role please get back to me with the following:


  • Your resume attached as a Word Document
  • Your Desired W2 Pay Rate
  • Your current location
  • I also need the Month and Day of your Birthday for their resume submittal system.


Required


  • Master’s or PhD in Data Science, Computer Science, Statistics, or a related field
  • Minimum 5+ years of hands-on experience in data science and machine learning model development
  • Proven track record of taking models from ideation through production deployment
  • Strong proficiency in Python, SQL, and AWS
  • Deep expertise in Machine Learning and/or Deep Learning techniques
  • Experience working with large-scale, complex datasets in collaborative environments


Preferred

  • Experience within healthcare, pharmaceutical, or other highly regulated industries
  • Hands-on experience with claims data or similarly complex, regulated datasets
  • Strong understanding of data privacy, compliance, and governance requirements
  • Experience with MLOps practices, including pipeline automation, deployment, and monitoring

Responsibilities


  • Model Development & Optimization
  • Lead the design, development, and optimization of machine learning models to improve targeting accuracy and business performance
  • Apply advanced Machine Learning and Deep Learning techniques to refine existing models and develop new solutions as needed
  • Feature Engineering & Data Preparation
  • Design and build scalable feature pipelines, transforming raw and complex datasets into high-quality model inputs
  • Work with large, messy datasets (e.g., claims data) while ensuring data integrity and usability
  • Production & Pipeline Scalability
  • Transition analytical models and scripts into robust, production-ready pipelines
  • Ensure code quality, documentation, and adherence to engineering and data science best practices
  • Support model deployment, monitoring, and ongoing performance improvements
  • Cross-Functional Collaboration & Insight Translation
  • Partner with data science, analytics, and business teams to translate business problems into technical solutions



Data Scientist W2 Contract role: Data Scientist II ROCGJP00040352


We are seeking a Senior Data Scientist (Level II) to support high-impact AI/ML initiatives within a regulated environment. This role will focus on advancing targeting models and delivering scalable, production-ready solutions that drive business outcomes. The ideal candidate brings strong technical depth, hands-on model development experience, and the ability to operate independently while collaborating across cross-functional teams.


What We’re Looking For

  • A self-driven, senior-level contributor who can lead model development efforts and influence technical direction
  • Someone who thrives in a team environment and contributes to shared goals without needing sole ownership
  • A candidate who balances technical excellence with business impact, delivering solutions that are both scalable and meaningful

Additional Notes

This is a Level II role, requiring demonstrated depth in both technical execution and real-world application of AI/ML solutions. Candidates must be comfortable working in a fast-paced, collaborative, and regulated environment. Please email resume to Ellen at elerner@csi-it.com

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