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Weekend Data Scientist Deep Learning Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Data Scientist

Portland, ME · On-site

$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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Weekend Data Scientist Deep Learning information

See salary details

$37.5K

$122.7K

$196.5K

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

As of May 29, 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 May 2026, with employment types broken down into 3% As Needed, 15% Full Time, and 82% Part Time. Highlights an 74% Physical, 5% Hybrid, and 21% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Data Scientist

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