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Weekend Data Scientist Deep Learning Jobs (NOW HIRING)

Data Scientist

San Jose, CA · On-site

$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 ...

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 ...

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 ...

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 ...

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

New

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 ...

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 ...

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 ...

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 ...

New

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 ...

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 ...

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Weekend Data Scientist Deep Learning information

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$37.5K

$122.7K

$196.5K

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

As of Jul 9, 2026, the average yearly pay for weekend 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 is the difference between Weekend Data Scientist Deep Learning vs Weekend Data Analyst?

AspectWeekend Data Scientist Deep LearningWeekend Data Analyst
Required CredentialsTypically requires a degree in Data Science, Computer Science, or related fields; knowledge of deep learning frameworksUsually requires a degree in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and basic analytics tools
Work EnvironmentOften involves working on complex machine learning models, coding in Python or R, and experimenting with neural networksFocuses on data cleaning, reporting, and visualization, often using Excel, Tableau, or Power BI
Employer & Industry UsageUsed in tech companies, research institutions, and AI-focused startupsCommon in finance, marketing, healthcare, and retail sectors

Weekend Data Scientist Deep Learning roles focus on developing advanced AI models and require programming skills, while Weekend Data Analysts handle data interpretation and reporting. Both roles are valuable but differ in technical complexity and industry application.

More about Weekend Data Scientist Deep Learning jobs
What cities are hiring for Weekend Data Scientist Deep Learning jobs? Cities with the most Weekend Data Scientist Deep Learning job openings:
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 states have the most Weekend Data Scientist Deep Learning jobs? States with the most job openings for Weekend Data Scientist Deep Learning jobs include:
Infographic showing various Weekend 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 • On-site

$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

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