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Popular Science Jobs (NOW HIRING)

... popular LLM APIs for university stakeholders. • Evaluate emerging AI and machine learning ... Required : • Master's degree in data science, Computer Science, Statistics, Applied Mathematics ...

Understanding of modern statistical and machine learning methods and an advanced proficiency with popular data science languages and libraries. * Practical understanding of how to approach research ...

Amazon Redshift is the world's most popular fully managed cloud data warehouse. Tens of thousands ... And you will help shape the science roadmap for autonomous database operations while mentoring ...

Associate Data Scientist

$60K - $60K/yr

Quantifind is a data science technology company that helps major banks combat money laundering and ... popular machine learning algorithms such as random forests, Boosting, and neural networks • ...

The data science center leads the development and implementation of machine learning and AI ... popular LLM APIs for university stakeholders. • Evaluate emerging AI and machine learning ...

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Popular Science information

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$22.5K

$64K

$154.5K

How much do popular science jobs pay per year?

As of Jul 21, 2026, the average yearly pay for popular science in the United States is $64,023.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $67,500.00 per year, depending on experience, location, and employer.

What is Popular Science?

Popular Science refers to the field and practice of making scientific concepts, discoveries, and advancements accessible and engaging to the general public. This may include writing articles, creating videos, or producing podcasts that explain complex scientific ideas in clear, relatable language. Professionals in popular science aim to bridge the gap between researchers and everyday people, helping to foster science literacy and curiosity. Popular Science is also the name of a long-standing magazine that covers new developments in science and technology.

What are the top jobs in science?

Top jobs in science include research scientist, biomedical engineer, data analyst, environmental scientist, and laboratory technician. These roles often require strong analytical skills, relevant degrees, and proficiency with scientific tools and methods.

What careers can I do with science?

A career in science offers roles such as research scientist, laboratory technician, environmental scientist, or data analyst. These jobs often require strong analytical skills, knowledge of scientific methods, and proficiency with tools like microscopes, lab equipment, or statistical software.

What is the best job for science?

A career in scientific research or engineering is often considered among the best jobs for science, involving data analysis, experimentation, and problem-solving. These roles typically require strong analytical skills, a relevant degree, and familiarity with laboratory tools or software. They offer opportunities for innovation and contribute to advancements in various scientific fields.

What are some common challenges faced by science writers at Popular Science, and how can they be overcome?

Science writers at Popular Science often encounter the challenge of translating complex scientific concepts into engaging, accessible content for a general audience. This requires balancing accuracy with readability and ensuring that articles remain both informative and captivating. Collaborating closely with editors and fact-checkers helps maintain high editorial standards, while ongoing communication with scientists can clarify technical details. Staying adaptable and continuously honing storytelling skills are key to overcoming these challenges and excelling in this dynamic role.

What is the difference between Popular Science vs Science Writer?

AspectPopular ScienceScience Writer
CredentialsTypically requires a background in science or journalism, often with a degree in a scientific field or communicationsRequires strong writing skills, often with a degree in journalism, communications, or a scientific discipline
Work EnvironmentMedia outlets, magazines, online platforms, science magazinesMagazines, newspapers, online publications, research institutions
Industry UsageUsed to describe accessible science content aimed at the general publicRefers to professionals creating detailed, accurate scientific articles or reports

Popular Science focuses on making complex scientific topics accessible and engaging for the general audience, often through magazines and online media. Science Writers produce detailed, accurate articles or reports, often with a more technical approach. While both roles involve science communication, Popular Science emphasizes broad appeal, whereas Science Writers may work on more specialized or technical content.

What are the key skills and qualifications needed to thrive as a Popular Science Writer, and why are they important?

To thrive as a Popular Science Writer, you need a solid understanding of scientific concepts, strong research abilities, and excellent writing skills, typically supported by a degree in science, journalism, or a related field. Familiarity with content management systems (CMS), data visualization tools, and fact-checking software is commonly required. The ability to communicate complex ideas clearly, creativity, and curiosity are standout soft skills in this role. These skills ensure accurate, engaging, and accessible science communication for broad audiences.
More about Popular Science jobs
What states have the most Popular Science jobs? States with the most job openings for Popular Science jobs include:
Infographic showing various Popular Science job openings in the United States as of July 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $64,023 per year, or $30.8 per hour.
Applied Scientist, Amazon Redshift

Applied Scientist, Amazon Redshift

Amazon

Redmond, WA

Full-time

Re-posted 3 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,974 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Amazon Redshift is the world's most popular fully managed cloud data warehouse. Tens of thousands of enterprise customers use Redshift to crunch through exabytes of data in the cloud to make business critical decisions every day. To stay ahead in such a mission critical setting, at Redshift, we must always re-invent ourselves for customers.

We are always looking for the innovative engineers to help shape the future of Redshift.
We are looking for an Applied Scientist to build deep learning models that predict query resource consumption, enabling intelligent workload management at massive scale. Query resource prediction is at the heart of Redshift's workload management, determining how queries are scheduled, scaled, and executed across the system.
This is a unique opportunity to shape the future of intelligent query management for the world's most popular cloud data warehouse, powering analytical workloads for Fortune 500 companies, startups, and everything in between. You will bring deep expertise in one or more areas such as deep learning, graph neural networks, or reinforcement learning, with the ability to work in a fast-moving and collaborative environment to deliver broad business impact at scale.
Key job responsibilities
As an Applied Scientist on the Redshift Query Optimizer team, you will research and develop deep learning models that power resource prediction for one of the world's largest cloud data warehouses

You will take ownership of the end-to-end ML lifecycle, from problem formulation and data analysis to model training, evaluation, and production deployment. You will design novel approaches to understand queries and predict resource needs across diverse and evolving workloads. You will run experiments at scale on real production data, and collaborate closely with systems engineers to deliver low-latency inference in a highly available environment.

You will publish your research at top-tier academic venues and contribute to the broader ML-for-systems community. And you will help shape the science roadmap for autonomous database operations while mentoring fellow scientists and engineers.
About the team
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply

If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS. Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious

Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance We value work-life harmony

Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.


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Workplace

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US