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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 ...

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 ...

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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All JobsData Scientist Deep Learning Jobs

Data Scientist Deep Learning information

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$37.5K

$122.7K

$196.5K

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

As of May 29, 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.

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.

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.

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.

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

Data Scientist

Northeastern University

Portland, ME • On-site

$87.79K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 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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