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Internship Ebay Data Scientist Jobs (NOW HIRING)

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 ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

MessageControl

Data Scientist

Chicago, IL · On-site

Must have at least 3 years of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market. * Outstanding ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

Data Scientist * Full Time * Onsite/Hybrid Preferred The Data Scientist is responsible for ... internship experience, or equivalent hands-on industry experience may be considered in lieu of ...

The Voleon Group

Data Scientist

Berkeley, CA · On-site +1

$150K - $190K/yr

As a Data Scientist, you will be responsible for harvesting insights from a complex array of data ... including internships working with complex datasets, including curation, querying, aggregation ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$106 - $127/hr

Data Scientist * Full Time * Onsite/Hybrid Preferred The Data Scientist is responsible for ... internship experience, or equivalent hands-on industry experience may be considered in lieu of ...

New

MessageControl

Data Scientist

Chicago, IL · On-site

Must have at least 3 years of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market. * Outstanding ...

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

AllSTEM Connections

Data Scientist

Orlando, FL · On-site

$107K/yr

Technical Leadership & Mentorship (10%) • Lead and manage a pipeline of talent, including interns, co-ops, and associate-level data scientists, providing coaching on model development methodologies ...

NXP Semiconductors

Data Scientist

Austin, TX · On-site

$128K/yr

Master's degree in Computer Science, Data Science, foreign equivalent or related field. Required ... internship or related occupation involving: 1. Programming language in C++, Python, and SQL 2. ...

The Voleon Group

Data Scientist

Berkeley, CA · On-site

$150 - $190/hr

As a Data Scientist, you will be responsible for harvesting insights from a complex array of data ... internships working with complex datasets, including curation, querying, aggregation, exploratory ...

Polaris, Inc.

Data Scientist

Plymouth, MN · On-site

$87K - $115K/yr

As a Data Scientist, you will apply advanced analytics, statistical modeling, and data science ... focused role, excluding internships and academic coursework. * Demonstrated knowledge of ...

Polaris, Inc.

Data Scientist

Plymouth, MN · On-site

$87K - $115K/yr

As a Data Scientist, you will apply advanced analytics, statistical modeling, and data science ... focused role, excluding internships and academic coursework. * Demonstrated knowledge of ...

QxBranch

Data Scientist QxBranch

Washington, DC · On-site

Minimum of 4 to 6 years relevant experience, including internships, part-time positions, and ... Experience with Dataiku's Data Science Studio Additional Information QxBranch is committed to ...

QxBranch

Data Scientist QxBranch

Washington, DC

Minimum of 4 to 6 years relevant experience, including internships, part-time positions, and ... Experience with Dataiku's Data Science Studio Additional Information QxBranch is committed to ...

Boston Scientific

Data Scientist I

Arden Hills, MN · Hybrid

Data Scientist 1 We will consider qualified applicants of all ages who are starting (or restarting ... based work authorization Prior internship experience with Boston Scientific Preferred ...

Amgen Inc. (IR)

Data Scientist

Cambridge, MA · On-site

$114 - $133/hr

Master's degree (or foreign equivalent) in Business Analytics, Engineering, Data Science or a related field & completion of a university-level course, research project, internship, thesis, or one ...

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Internship Ebay Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do internship ebay data scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for internship ebay data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does an internship eBay data scientist do?

An Internship eBay Data Scientist works with experienced data scientists to analyze large datasets, develop models, and generate insights that help shape eBay’s business decisions. Interns may assist in building machine learning models, performing statistical analyses, and creating data visualizations. They often collaborate with different teams to solve real-world business problems and may present their findings to stakeholders. This role provides hands-on experience with eBay's data infrastructure and an opportunity to learn industry-standard tools and techniques.

What are the key skills and qualifications needed to thrive as an internship eBay data scientist, and why are they important?

To thrive as an Internship eBay Data Scientist, you need a solid background in statistics, data analysis, and programming (especially with Python or R), typically supported by coursework or a degree in a quantitative field. Experience with data visualization tools (like Tableau), machine learning frameworks, and SQL databases is commonly required. Strong problem-solving ability, curiosity, and effective communication skills help interns collaborate and present insights clearly. These skills are crucial for extracting actionable business insights from complex datasets, contributing value to eBay's data-driven decision-making.

What types of projects and data sets do data science interns at eBay typically work on, and how do these contribute to the company's goals?

As a Data Science intern at eBay, you can expect to work on projects that involve analyzing large-scale e-commerce data, such as customer behavior, transaction trends, or search optimization. Interns often collaborate with cross-functional teams—including engineering, product management, and business analytics—to build predictive models, identify actionable insights, and help improve user experience or drive business decisions. These projects not only offer hands-on experience with real-world data and tools like Python, R, or SQL, but also directly contribute to initiatives that enhance eBay’s platform performance and customer satisfaction. The fast-paced, supportive environment encourages learning and skill development, preparing you for more advanced data science roles in the future.

What is the difference between Internship Ebay Data Scientist vs Data Analyst?

AspectInternship Ebay Data ScientistData Analyst
Required CredentialsTypically pursuing or recent graduate in Data Science, Statistics, or related fieldsOften holds a degree in Statistics, Mathematics, or related fields
Work EnvironmentInternship setting within Ebay, focusing on data modeling, machine learning, and predictive analyticsAnalyzing data sets, creating reports, and supporting decision-making processes
Employer & Industry UsageUsed by Ebay for product insights, user behavior analysis, and machine learning projectsCommon across various industries for business intelligence and reporting

The Internship Ebay Data Scientist role is an entry-level position focused on developing data science skills, including machine learning and predictive modeling, within Ebay. In contrast, Data Analysts primarily focus on interpreting data, creating reports, and supporting business decisions. While both roles require strong analytical skills, the Data Scientist internship emphasizes technical modeling, whereas Data Analysts concentrate on data interpretation and visualization.

How to get an internship as an eBay data scientist?

To secure an internship as an eBay data scientist, candidates should have a strong background in data analysis, machine learning, and programming languages like Python or R. Relevant experience with big data tools such as SQL, Hadoop, or Spark, along with a solid understanding of e-commerce data, can improve chances. Applying through eBay's official careers portal and demonstrating relevant coursework, projects, or prior internships is essential.
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Internship Ebay Data Scientist jobs near you
Infographic showing various Internship Ebay Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Northeastern University

Portland, ME • On-site

$87K - $123K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 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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