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Summer Data Science Jobs (NOW HIRING)

Rutgers University

$2.7K/wk

Employee discount programs Posting Summary The Graduate Program in Data Science at Rutgers University-Camden seeks new lecturers for Spring 2026 and/or Summer 2026 semester(s) to teach various Data ...

Rutgers University

Lecturers, Data Science

Camden, NJ · On-site

$2.7K/wk

Employee discount programs Posting Summary The Graduate Program in Data Science at Rutgers University-Camden seeks new lecturers for Spring 2026 and/or Summer 2026 semester(s) to teach various Data ...

SAIC

Data Scientist Associate

Upper Marlboro, MD · Hybrid

$80K - $120K/yr

A bachelor's degree in computer science, data science, or a comparative quantitative science or scheduled to obtain one by spring or summer 2026 * Ability to obtain and maintain a public trust ...

Avant LLC

Associate, Data Science, Credit Risk

Chicago, IL · On-site

$95K - $130K/yr

Avant is adding to our Data Science team! We are looking for a self-driven candidate who is ... Summer Fridays * Fun In-Office and Virtual Social Events * And who doesn't love the swag Check out ...

Avant

Associate, Data Science, Credit Risk

Chicago, IL

$95K - $130K/yr

Avant is adding to our Data Science team! We are looking for a self-driven candidate who is ... Summer Fridays * Fun In-Office and Virtual Social Events * And who doesn't love the swag Check out ...

Adswerve, Inc

Data Scientist 1

OR · On-site +1

$95K - $115K/yr

College degree in Computer Science, Information Science or related field preferred - OR ... Summer Fridays * "Work From Home Light" days between Christmas and New Year's Day * 401(k) Plan ...

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Summer Data Science information

What is the salary of a 2 year experience data scientist?

A data scientist with two years of experience typically earns between $70,000 and $100,000 annually, depending on location, industry, and company size. Skills in machine learning, programming, and data analysis tools like Python or R can influence salary levels.

Is 30 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What is the 80 20 rule in data science?

In data science, the 80 20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

What is the difference between Summer Data Science vs Summer Data Analyst?

AspectSummer Data ScienceSummer Data Analyst
Required CredentialsTypically requires coursework or degree in data science, statistics, or related fieldsOften requires degree or coursework in data analysis, statistics, or business analytics
Work EnvironmentCollaborates with data scientists, engineers, and product teams on complex data projectsWorks with business teams to interpret data, generate reports, and support decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for advanced data modelingCommon in marketing, retail, finance, and operations for data reporting and insights

Summer Data Science roles focus on developing predictive models and advanced analytics, often requiring stronger technical skills. Summer Data Analysts typically handle data reporting and visualization to support business decisions. Both roles are valuable in data-driven industries but differ in technical depth and project scope.

What are the key skills and qualifications needed to thrive as a Summer Data Science Intern, and why are they important?

To excel as a Summer Data Science Intern, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or a degree in a quantitative field. Familiarity with tools such as SQL, Jupyter Notebooks, and data visualization platforms, as well as experience with machine learning libraries, is typically expected. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and present insights clearly. These skills enable interns to contribute meaningful analyses, adapt quickly to new challenges, and add value to data-driven projects in a short timeframe.

What is a Summer Data Science internship?

A Summer Data Science internship is a temporary, often 8-12 week, position for students or recent graduates to gain hands-on experience in data science during the summer months. Interns typically work on real-world projects involving data collection, cleaning, analysis, and visualization, using tools like Python, R, and SQL. These internships provide valuable exposure to industry practices, mentorship from experienced data scientists, and opportunities to develop technical and analytical skills. They are commonly offered by tech companies, finance firms, healthcare organizations, and startups.

Can I get a data scientist job with no experience?

Entry-level data scientist positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools and techniques. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or internships can improve your chances of securing a data scientist role.

What types of projects can I expect to work on as a Summer Data Science intern?

As a Summer Data Science intern, you can typically expect to work on real-world projects involving data cleaning, exploratory data analysis, and building predictive models under the supervision of experienced data scientists. You may be tasked with analyzing large datasets, visualizing findings, and contributing to presentations that inform business decisions. Collaboration is common, so you'll likely work closely with team members from engineering, analytics, and business units to refine project goals and deliver actionable insights. This hands-on experience is designed to help you develop technical skills while understanding how data science impacts organizational objectives.
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Summer Data Science jobs near you

Stanford Rebele Data Science Intern, Summer 2026

Hearst Newspapers

New York, NY • Hybrid

Full-time

Posted 2 days ago

Job description

Stanford Rebele Data Science Internship, Summer 2026

At Hearst Newspapers, data drives the way we engage millions of readers across our publications. We're looking for an ambitious intern to join our Data and Insights team, where you'll tackle real-world challenges in digital media, audience growth, and storytelling at scale.

This internship is paid through the Stanford Rebele Internship Program. To be eligible, candidates must be current Stanford University students. 

This internship will run from June 8 to August 14, 2026, and can be based in either California or New York.

This is an opportunity to shape strategic decisions by translating complex data into powerful insights. You'll work cross-functionally with newsrooms, marketing, and audience teams to help the business understand how audience development drives outcomes for the business. You'll help to answer questions like, "Do TikTok followers views lead to business outcomes", "What platforms attract our most valuable audiences?", "How do our users engage and interact with our investigative data-journalism projects, and does that engagement ultimately result in business outcomes".

You will work directly with both technical and non-technical users to translate business questions into data problems that our data can solve. That work will involve building ad-hoc reports and dashboards, conducting exploratory analysis, and modeling data to help solve business problems.

Working within the larger Data and Insights team, you will be collaborating with other analysts, data scientists, and data engineers to understand how a business intelligence team functions in a media organization as you learn to hone your data skills.

What You'll Gain
Hands-on experience working with BigQuery, Python, and large-scale datasets.
A front-row seat to the inner workings of a modern media company at the intersection of data and journalism.
The opportunity to present your findings to senior stakeholders - your insights will directly influence strategy.

Qualifications
Pursuing a degree in math, engineering, statistics, econometrics, data science or related quantitative field at Stanford University
Prior experience or internship with data analysis (as an analyst, in analytics, business intelligence or similar)
Familiarity with SQL (BigQuery preferred)
Familiarity with Python for data analysis
Strong verbal and written communication, especially when presenting to non-technical stakeholders

This is your chance to leave a mark on one of the largest digital news organizations in the country. If you're excited about data, media, and real-world impact, we'd love to hear from you!

HNP Overview:
With 2,500 employees across the nation, Hearst Newspapers (HNP) represents a network of 28 daily and 50 weekly publications, including the Austin American-Statesman, Houston Chronicle, San Antonio Express-News, San Francisco Chronicle and Times Union (Albany). Our portfolio also includes several top digital-only news and lifestyle sites such as Chron., CT Insider, MySA and SFGATE, along with marketing services businesses like Medium Giant and entertainment brands such as King Features Syndicate.

At HNP, we're investing in new and innovative ways to tell stories - growing newsrooms, diversifying tools and evolving platforms - to support the millions of people who trust us each month to help them make decisions, take action and be inspired.

Be part of something bigger - Your Headline Awaits

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