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Internship Reddit Data Science Jobs in Silver Spring, MD

QxBranch

Data Scientist QxBranch

Washington, DC · On-site

... science preferred * Minimum of 4 to 6 years relevant experience, including internships, part-time ... Strong data visualization and data "storytelling" skills * Analytics experience in finance ...

QxBranch

Data Scientist QxBranch

Washington, DC

... science preferred * Minimum of 4 to 6 years relevant experience, including internships, part-time ... Strong data visualization and data "storytelling" skills * Analytics experience in finance ...

US AI

Sr. Data Scientist

Rockville, MD

$150K - $200K/yr

Demonstrated expertise gained through relevant internships, coursework, and personal projects that highlight your skills and a strong dedication to the field of data science. * Fundamental knowledge ...

Booz Allen Hamilton

Data Scientist, Mid

Arlington, VA

$77K - $176K/yr

You Have: * 2+ years of experience in data science in a professional work environment * Experience with machine learning, data mining, statistics, or graph algorithms in academic or internship ...

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Internship Reddit Data Science information

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$12

$23

$43

How much do internship reddit data science jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for internship reddit data science in Silver Spring, MD is $23.26, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $25.34 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Reddit Data Science, and why are they important?

To thrive as a Reddit Data Science intern, you need a solid background in statistics, programming (Python or R), and data analysis, usually supported by progress toward a degree in a quantitative field. Familiarity with tools such as SQL, Jupyter Notebooks, and machine learning libraries like scikit-learn or TensorFlow is typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns collaborate and present data-driven insights. These skills are crucial for extracting actionable information from Reddit's large datasets, driving informed decisions, and contributing to product and user experience improvements.

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 use this concept to focus on the most impactful features, data points, or tasks to improve model performance efficiently.

Is a data science internship worth it?

A data science internship provides practical experience with tools like Python, R, and SQL, and helps develop skills in data analysis, machine learning, and communication. It can improve job prospects, build a professional network, and often leads to full-time opportunities. The value depends on the quality of the internship and the learning opportunities it offers.

What is an Internship Reddit Data Science position?

An Internship Reddit Data Science position is a temporary role where students or recent graduates work with Reddit's data science team. Interns assist with analyzing large datasets, building models, and deriving insights to improve user experience and business outcomes. The role typically involves working with programming languages like Python or R, using tools for data analysis and visualization, and collaborating with other engineers and data scientists. It's a valuable opportunity for gaining hands-on experience in real-world data science projects within a dynamic tech company. The internship can help build skills and open doors for future careers in data science.

What is the difference between Internship Reddit Data Science vs Data Analyst Intern?

AspectInternship Reddit Data ScienceData Analyst Intern
Required skillsBasic programming, statistics, data manipulationData visualization, Excel, SQL, basic statistics
Work environmentTech companies, startups, online platformsBusiness, finance, marketing sectors
Typical tasksData cleaning, model development, analysisReporting, dashboards, data interpretation
Common industry usageTech, social media, online communitiesCorporate, marketing, finance

Internship Reddit Data Science and Data Analyst Intern roles share foundational skills like data manipulation and basic analytics. However, Reddit Data Science internships focus more on developing models and working with large datasets in tech environments, while Data Analyst Internships emphasize reporting and visualization in business contexts. Both roles provide valuable experience but cater to different career paths within data fields.

What types of projects and responsibilities can I expect as a Data Science Intern at Reddit?

As a Data Science Intern at Reddit, you can expect to work on a variety of projects ranging from analyzing user engagement data to building predictive models that support product and content recommendations. You'll collaborate closely with data scientists, engineers, and product managers, often using tools like Python, SQL, and machine learning libraries. Common responsibilities include cleaning and visualizing data, conducting exploratory analysis, and presenting insights to stakeholders. This hands-on experience will help you develop both technical and communication skills in a dynamic, team-oriented environment.

Is 30 too late for data science?

For an internship in Reddit Data Science or similar roles, starting at age 30 is not a barrier; many data scientists begin their careers later in life. Success depends on skills, relevant experience, and continuous learning in areas like programming, statistics, and machine learning, rather than age alone.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in machine learning, programming, and domain knowledge remain essential for designing and deploying AI solutions effectively.
What are popular job titles related to Internship Reddit Data Science jobs in Silver Spring, MD? For Internship Reddit Data Science jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Internship Reddit Data Science jobs in Silver Spring, MD look for? The top searched job categories for Internship Reddit Data Science jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Internship Reddit Data Science jobs? Cities near Silver Spring, MD with the most Internship Reddit Data Science job openings:
Internship Reddit Data Science jobs near you
Data Science and Advanced Analytics Intern

Data Science and Advanced Analytics Intern

AARP

Washington, DC • On-site

$28/hr

Internship

Posted 14 days ago

AARP rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

109th of 686 rated non-profit organizations

Job description

Overview
AARP is the nation's largest nonprofit, nonpartisan organization dedicated to empowering people 50 and older to choose how they live as they age. With a nationwide presence, AARP strengthens communities and advocates for what matters most to the more than 100 million Americans 50-plus and their families: health and financial security, and personal fulfillment. AARP also works for individuals in the marketplace by sparking new solutions and allowing carefully chosen, high-quality products and services to carry the AARP name. As a trusted source for news and information, AARP produces the nation's largest-circulation publications, AARP The Magazine and the AARP Bulletin.
Data & Analytics leverages business intelligence gained through advanced data analytics in order to maximize AARP's marketing and communications results. This includes using data science, data engineering, predictive modeling, and market analytics to guide data driven decision making.
The AARP Data Science & Advanced Analytics team is seeking a curious and creative intern to support ongoing enhancements to Data Science-owned AI/ML and agentic personalization capabilities across our digital channels. This paid internship, anticipated to begin in Summer 2026 with the potential to extend into additional semesters, sits within the Data Science function and focuses on AI-driven personalization, content intelligence, audience engagement analysis, and emerging agentic decisioning initiatives. The intern will help evaluate engagement signals, content effectiveness, and qualitative feedback to support the evolution of AI/ML-powered personalization systems and optimization frameworks. This internship offers hands-on exposure to how analytics, content strategy, audience engagement, and AI work together to improve personalized digital experiences, while supporting Data Science-led AI and agentic personalization initiatives focused on content intelligence, engagement optimization, and AI-assisted decisioning. Ideal candidates will have an interest in media, marketing analytics, audience strategy, communications, digital content, consumer behavior, personalization, and emerging AI technologies, combined with strong analytical thinking, intellectual curiosity, and the ability to connect insights to business outcomes.
Responsibilities
  • Support ongoing improvements to Data Science-owned AI/ML and agentic personalization capabilities
  • Review personalized content recommendations and engagement trends
  • Evaluate content relevance, freshness, tone, and audience alignment
  • Analyze web, app, and email engagement patterns and analytics
  • Support experimentation and optimization initiatives
  • Provide structured qualitative feedback to support AI-assisted decisioning
  • Assist with summaries, presentations, analytics reviews, and insight documentation

Qualifications
  • Currently pursuing an undergraduate or graduate degree in Media & Marketing Analytics, Audience Strategy, Digital Media, Integrated Marketing Communications, Business Analytics, Consumer Strategy, Marketing, Communications, or a related field
  • Strong interest in digital experiences, consumer engagement, personalization, and emerging AI technologies
  • Ability to think analytically, synthesize insights, and communicate findings clearly to both technical and non-technical audiences

Additional
  • Exposure to digital publishing, content marketing, audience development, or marketing analytics
  • Familiarity with audience engagement metrics, reporting, dashboards, or performance measurement
  • Interest in personalization, AI/ML, experimentation, recommendation systems, or emerging agentic AI applications
  • Experience creating presentations, reports, content analyses, or research summaries
  • Comfort working with both quantitative and qualitative information to identify patterns, opportunities, and insights
  • Curiosity about how data, content, and technology can work together to improve customer experiences and business outcomes

AARP will not sponsor an employment visa for this position at this time.
Additional Requirements
  • Regular and reliable job attendance
  • Effective verbal and written communication skills
  • Exhibit respect and understanding of others to maintain professional relationships
  • Independent judgement in evaluation options to make sound decisions
  • In office/open office environment with the ability to work effectively surrounded by moderate noise

Hybrid Work Environment
AARP observes Mondays and Fridays as remote workdays, except for essential functions. Remote work can only be done within the United States and its territories.
Compensation and Benefits
The hourly range is $18.40 for undergraduates, $21 for graduate students, and $28 for Ph.D. candidates. Internships are non-exempt positions and are not eligible for employee benefits.
Equal Employment Opportunity
AARP is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. AARP does not discriminate on the basis of race, ethnicity, religion, sex, color, national origin, age, sexual orientation, gender identity or expression, mental or physical disability, genetic information, veteran status, or on any other basis prohibited by applicable law.

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