ZipRecruiter

Log In

1

Data Scientist Deep Learning Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

Nestlé Health Science

Senior Data Scientist

Nestlé Health Science is dedicated to merging nutrition, science, and wellness to empower ... Design deep learning and natural language processing models to analyze complex data across business ...

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 ...

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 ...

Compunnel

Senior Data Scientist GenAI / RAG

Houston, TX · On-site

Job Summary We are seeking a Senior Data Scientist with a strong background in traditional Machine Learning, Deep Learning, and hands-on experience building enterprise Generative AI solutions. This ...

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 ...

W3Global

Senior Data Scientist

Houston, TX · On-site

Senior Data Scientist - GenAI / RAG Location: Houston, TX (Onsite - 5 Days) Type: Full-Time We are ... Machine Learning (ML) Deep Learning (DL): Hands-on experience with: Generative AI (LLMs, RAG ...

next page

Showing results 1-20

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 Jul 9, 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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Data Scientist

Cypress HCM

San Jose, CA

$105.63/hr

Full-time

Re-posted 22 days ago

Job description


Data Scientist
Job Details
  • Data Scientist (Contract)
  • Location: San Jose CA 95110 (Hybrid)
  • Duration: 11/17/2025 to 6/12/2026
  • Team: Express Growth US
About the Role:
  • The Express Growth Data Science team is looking for a dynamic and versatile data scientist to drive product-led growth for Adobe Express. You will employ data to deeply understand Adobe Express customers through their entire lifecycle, from Acquisition, Engagement Conversion and Monetization, drive strategy, measure progress toward goals, be the voice of customer performance through the product and uncover new opportunities. The ideal candidate will have deep technical skills, a passion for delivering compelling customer analytics, curiosity, and a desire to grow technical skills!
Key Responsibilities:
  • Lead strategic analytics projects and present clearly communicated findings that lead to impactful insights for key partners.
  • Use data from multiple sources to understand customers and their in-product engagement, purchase, and retention, trial and paid conversion patterns create compelling data narratives that drive action and find opportunities to further elevate the Express product experience.
  • Own and drive growth metrics related to product engagement and monetization. Unlock customer usage and behavior patterns and develop models to analyze the causal relationships between product usage, customer retention and propensity to purchase and convert at a macro and micro-transaction level.
  • Build new predictive models to understand the relationship between usage, engagement and customer retention - and fuel the basis for Propensity frameworks and find opportunities for monetization.
  • Develop Analysis frameworks to enable thorough data insights, while maintaining the quality of the insight, and inform strategy.
  • Develop strategy to drive Data Science and scale the efficiency of the organization by building creative automative solutions.
  • Serve as the Business liaison, working across all growth pillars and the Finance and Go-To-Market organizations to build regular product performance updates with the Product Led Growth lens.
  • Lead the Growth organization forecasting and Target setting framework and build Growth contribution layers towards the Express KPI goals.
  • Partner with the enablement and product teams to enable analytics measurement across existing and new features built in the product in supporting data systems.
  • Build and maintain dashboards to enable self-serve of information.
  • Generate data-informed hypotheses to drive in product growth experiments and support readouts to assess the performance of the tests.
Required Skills & Qualifications:
  • Bachelor’s degree in computer science, statistics, physics or a related field is required. A Master’s degree in this field is preferred.
  • 3-5+ years of direct experience as a Data Scientist
  • Deep understanding of statistics and expertise in building, productizing, maintaining, and improving predictive models
  • Strong proficiency in querying, manipulating, validating, and analyzing large data sets using SQL or Hive
  • Self Starter, asking questions. Experience with Python, R or any other scripting language.
  • Experience with one or more data visualization tools such as Tableau or Power BI
  • Experience with Adobe Analytics, Amplitude is a plus.
  • Strong business insight, good communication and collaboration skills.
Compensation:
  • Up to $105.63 per hour.
#36413583
Cypress HCM logo

About Cypress HCM

Sourced by ZipRecruiter

We deliver consistently superior recruiting by virtue of trusting, communicative relationships with companies and candidates alike. From Fortune 100s to startups, clients lean on us to fulfill their range of needs from contract to full-time positions. With an intimate knowledge of the industries we serve, a keen sense of what makes for high-performing talent in any role, and shared sense of urgency, our clients will tell you: your solution begins here.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Walnut Creek, CA, US

Year founded

2005

Social media

FacebookTwitter

View All Cypress HCM Jobs