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Weekend Data Scientist Deep Learning Jobs (NOW HIRING)

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 ...

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 ...

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 · 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 ...

Smart Data

15490 Senior Data Scientist II

Cincinnati, OH

$120K - $160K/yr

Senior Data Scientist Location: Cincinnati, OH (Downtown 5x/wk) Years of Experience: 2-10+ TOP ... The ideal candidate will have proven track record of developing deep learning models, expertise in ...

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 ...

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 ...

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 ...

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 ...

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 ...

VTG

Data Scientist

Chantilly, VA

Main responsibilities of data scientists include a strong understanding in statical methods, predictive modeling, machine learning, deep learning, data visualizations, and data management. Depending ...

Walmart

Senior, Data Scientist

South San Francisco, CA

$117K - $234K/yr

We are seeking a Senior Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

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All JobsWeekend Data Scientist Deep Learning Jobs

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 Jun 19, 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:
What job categories do people searching Weekend Data Scientist Deep Learning jobs look for? The top searched job categories for Weekend Data Scientist Deep Learning jobs are:
Weekend Data Scientist Deep Learning jobs near you
Infographic showing various Weekend Data Scientist Deep Learning job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Principal Data Scientist

Principal Data Scientist

KORE1 Technologies

Duarte, CA • Remote

Contractor

Posted 8 hours ago

Job description


KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Data Scientist that is fully remote. 

Professional Summary:
The Principal Data Scientist will drive innovation across the full lifecycle of AI/ML initiatives. You'll work hands-on with structured and unstructured healthcare data, design and implement state-of-the-art models (including LLMs and RAG-based architectures), and lead cross-functional collaborations to bring solutions to production at scale. This role combines deep technical expertise with strategic influence and mentorship.

Key Responsibilities  
Research & Innovation
*    Initiate and lead novel research in machine learning and AI, especially in deep learning, large language models (LLMs), and retrieval-augmented generation (RAG).
*    Stay current with advancements in AI/ML and assess their relevance to healthcare challenges.
*    Investigate and adapt cutting-edge research (white papers, preprints, publications) into practical applications.
Model Development & Deployment
*    Design, build, train, evaluate, and deploy ML models, including supervised, unsupervised, reinforcement learning, and deep learning techniques.
*    Fine-tune pre-trained models (including transformer architectures) for domain-specific use cases.
*    Develop and operationalize agentic workflows to enable AI-driven automation of business tasks.
Production & Monitoring
*    Deploy models in cloud environments (Azure, AWS, Databricks) with robust MLOps and CI/CD practices.
*    Build and maintain monitoring systems for real-time model performance, drift detection, and alerting.
*    Ensure compliance with model governance, privacy, and healthcare regulatory standards.
Cross-functional Leadership
*    Partner with engineering, data engineering, product, and business stakeholders in an agile environment to ensure timely, impactful deliveries.
*    Mentor junior data scientists and promote best practices in experimentation, reproducibility, and responsible AI.
*    Translate complex analytics into actionable insights and communicate effectively with both technical and non-technical stakeholders.

Minimum Education:    
  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
  • 4 years of experience plus min experience may substitute for minimum education requirements.
Minimum Experience:    
  • 10+ years of experience in Data Science, with a focus on machine learning, algorithm design, and statistical modeling
  • 3+ years of experience deploying ML models into production environments using Azure, AWS, and Databricks.
  • Strong programming expertise in Python (and/or R); experience with libraries such as scikit-learn, PyTorch, TensorFlow, Transformers, etc.
  • Proven experience developing and fine-tuning deep learning models, including transformer-based architectures.
  • Experience working with structured (e.g., claims, EHR) and unstructured (e.g., clinical notes) healthcare data.
Skills/Abilities:    
  • Solid understanding of ML model evaluation metrics, data preprocessing, feature engineering, and data imputation.
  • Strong SQL skills and familiarity with both relational and NoSQL databases.
  • Comfortable working in Agile teams and navigating ambiguity in startup environments.
  • Builds and promotes a culture of personal and outcomes-based accountability.
  • Demonstrated ability to operate in an ambiguous, evolving, and fast-paced environment.
  • Must have innovative mindset in ensuring that the organization is adapting accordingly with the changing environment.
  • Strong track record in working independently and in a team setting, under pressure, and handling multiple deadlines.
  • Strong analytical capabilities coupled with the ability to identify issues, obtain mutual agreement as to the resolution and implement change.
  • Exceptional communication (written and verbal) and interpersonal skills are required.  
  • Well-developed organization, analytical, and innovative mindset to manage multiple projects and priorities.  
  • Proven experience and aptitude to participate as part of high functioning team within a virtual work environment.
  • Ability to craft business solutions to complex business problems.
  • Ability to manage all processes throughout the life cycle of a project..  
  • Demonstrated experience in collaborating across the organization regardless of level, function, or geography.  
  • Proven ability to establish strong relationships with internal and external stakeholders.
  • Software/Apps:    Microsoft (MS) Office365, MS Office (Excel, Word, PPT), MS TEAMs, PeopleSoft, Slack, Zoom, Salesforce.com, Amazon Connect

Preferred Education:    
  • Master's degree in Computer Science, Data Science, Statistics, or a related field.
Preferred Experience:    
  • 12+ years of experience in Data Science, with a focus on machine learning, algorithm design, and statistical modeling.
    *    4+ years of experience deploying ML models into production environments using Azure, AWS, and Databricks.
    *    Experience with retrieval-augmented generation (RAG) and agentic workflows.
    *    Familiarity with Databricks platform and tools including: Databricks One environment, Genie, Agent Bricks.
    *    Experience in deploying or monitoring models in Databricks MLflow or similar platforms.
    *    Strong domain knowledge in healthcare (payer or provider) including medical coding, care gaps, or quality measures (e.g., HEDIS, Star ratings).
    *    Experience with NLP and hybrid symbolic-statistical approaches.
    *    Track record of publishing research or contributing to open-source projects.



Pay range is typically anywhere from 48 - 62/hr DOE. 

ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.

Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.
Education:Employment Type: CONTRACTOR

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