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Weekend Data Scientist Deep Learning Jobs (NOW HIRING)

Northeastern University

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 ...

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 ...

Costco

IT Data Scientist

Issaquah, WA · On-site

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 ...

BranchLab

Senior Data Scientist

Boulder, CO · On-site

$130K - $180K/yr

... rigorous deep learning approaches • Use SQL and Python to write accurate, understandable ... • PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Epidemiology, or ...

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 ...

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

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 ...

Vizio

Principal, Data Scientist - Personalization

Newark, NJ · On-site

$132K - $264K/yr

As a Principal Data Scientist, you will lead the design and delivery of machine learning solutions ... Leveraging expertise in deep learning and statistical data analysis, the group focuses on creating ...

VTG

Data Scientist

Chantilly, VA · On-site

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 ...

hireVouch

Data Scientist

As a Senior Data Scientist, you will play a pivotal role in our data science efforts, with ... Deep Learning, especially Transformers Experience with GLMs, including for actuarial frequency ...

VTG

Data Scientist

Chantilly, VA · On-site

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

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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 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:
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 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.

Data Scientist

Northeastern University

Portland, ME • On-site

$87.79K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

About the Opportunity
JOB SUMMARY
This is a full-time, one-year term appointment with the possibility of renewal. The position is in-person at Northeastern's Roux Institute in Portland, Maine.
The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University's Experiential AI Institute, will support the development and delivery of AI and data science solutions across diverse industries. The role is designed for early-career data scientists who will work under the guidance of senior data scientists, AI engineers, and faculty leads.
The Data Scientist will contribute to data analysis, feature engineering, model development, evaluation, and documentation, while progressively gaining exposure to production systems, client-facing work, and modern AI practices across Predictive AI and Generative AI use cases.
Education & Experience
  • Master's degree (required) or Ph.D. (optional) in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field.
  • 0-2 years of industry, research, or applied project experience in data science or machine learning.
  • Experience gained through internships, co-ops, academic research, or applied capstone projects is acceptable.
  • Industry experience is preferred.

Knowledge, Skills, and Abilities
Technical and Analytical Foundations
  • Solid understanding of statistical methods, regression, hypothesis testing, and basic experimental design.
  • Hands-on experience with classical machine learning methods such as linear/logistic regression, decision trees, and gradient boosting.
  • Familiarity with deep learning concepts and modern architectures (e.g., convolutional neural networks or transformers); deep specialization is not required.
  • Exposure to Generative AI concepts and large language models (LLMs) is a plus.
  • Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn).
  • Working knowledge of SQL and relational databases.
  • Familiarity with at least one ML or deep learning framework (e.g., PyTorch, TensorFlow, HuggingFace).
Model Development and Delivery Support
  • Perform data cleaning, exploratory data analysis (EDA), and feature engineering.
  • Train, evaluate, and compare machine learning models under supervision.
  • Assist with model validation, performance monitoring, and documentation.
  • Contribute to ML pipelines and collaborate with ML engineers on deployment-related tasks.
Collaboration and Communication
  • Ability to clearly communicate analytical findings to technical and non-technical audiences with guidance.
  • Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts.
  • Willingness to participate in client meetings in a supporting role.
Preferred Experience
  • Exposure to NLP, computer vision, or speech processing through coursework or academic/industry projects.
  • Familiarity with cloud platforms (AWS, Azure, or GCP).
  • Understanding of software development best practices such as version control (Git) and Agile workflows.

Values & Professional Attributes
Ethical and Responsible AI
  • Awareness of ethical AI principles including fairness, transparency, and responsible model use.
  • Willingness to follow established governance, documentation, and review practices.
Learning and Growth Mindset
  • Strong curiosity and motivation to learn new tools, techniques, and AI methods.
  • Openness to feedback and mentorship.
Execution and Ownership
  • Ability to manage assigned tasks, meet deadlines, and maintain high-quality work.
  • Proactive attitude and willingness to take increasing responsibility over time.

Position Type
Research
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Compensation Grade/Pay Type:
111S
Expected Hiring Range:
$87,785.00 - $123,998.75
With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

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