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Popular Science Jobs (NOW HIRING)

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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 Jun 7, 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 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 May 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.

Specialist - Data Sciences

Futran Tech Solutions Pvt. Ltd.

Charlotte, NC โ€ข On-site

Full-time

Posted 9 days ago


Job description

AWS Databricks MLOps Requirement
Job Title MLOps Engineer to work on AWS GovCloud Databricks
Bachelors degree in computer science Engineering Applied Mathematics or related field
4 to 6 years of strong experience with AWS Gov Cloud environments Export Control FedRAMP environments
Overall 810 years of solid experience in the areas of data engineering machine learning data science
46 years of strong experience with the following machine learning topics classification clustering optimization deep learning NLP with Python in a programming intensive role
68 years of strong experience in Python PySpark coding
46 years of industry experience with popular ML frameworks such as Keras Tensorflow PyTorch HuggingFace Transformers and libraries like scikitlearn etc
46 years of experience with ClassicAIGenAI ML Model Operationalization in Production
4 to 6 years of strong experience in Azure Databricks AWS Databricks specializing in EndtoEnd MLOps architecture with practical expertise in Databricks Unity Catalog MosaicAI serverless solutions MLOps stacks and Lakehouse monitoring among other areas
46 years of industry experience with distributed computing frameworks such as Spark Kubernetes ecosystem etc 46 years of experience with CICD Dev Ops process
Effective communication skills and succinct articulation
Experience working with remote and global teams and cross team collaboration