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Popular Science Jobs in California (NOW HIRING)

Jobsbridge

Cloud Architect

San Francisco, CA

$76.50 - $97.50/hr

Basic Qualifications: - B.S. in Computer Science, Engineering, or Information Technology, or ... popular OSS: C, C++, Java, PHP, Python, JavaScript, Perl, C# etc. - At least 3 years- experience ...

Paramount

Senior Data Scientist

Burbank, CA · On-site +1

$124K - $186K/yr

Integrate data science tooling into all aspects of our DTC financial forecasts Basic Qualifications ... Paramount+ features an expansive library of original series, hit shows and popular movies across ...

Paramount

Senior Data Scientist

Burbank, CA · On-site

$124K - $186K/yr

Integrate data science tooling into all aspects of our DTC financial forecasts Basic Qualifications ... Paramount+ features an expansive library of original series, hit shows and popular movies across ...

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All JobsPopular Science JobsPopular Science Jobs in California

Popular Science information

See California salary details

$22K

$62.7K

$151.3K

How much do popular science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for popular science in California is $62,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,127.00 and $66,097.00 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 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.

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 popular job titles related to Popular Science jobs in California?

For Popular Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Popular Science jobs in California look for?

The top searched job categories for Popular Science jobs in California are:

Popular Science jobs near you
Infographic showing various Popular Science job openings in California as of August 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 100% In-person job distribution, with an average salary of $62,693 per year, or $30.1 per hour.

Applied Scientist, Experimentation

Coframe

San Francisco, CA • On-site

$180K - $500K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

At Coframe, we're building living interfaces that continuously improve themselves.
As an Applied Scientist focused on experimentation, you'll build the intelligence that determines what to test, how to measure impact, and which experiences to ship. You'll develop an opinionated yet flexible experimentation and analytics platform that powers decision-making across every Coframe product line.
Your work will help Coframe extract reliable signals from noisy behavioral data, measure long-term business impact, and continuously optimize customer outcomes with less human intervention.
You're a great fit if you have:
  • A strong background in statistics, causal inference, machine learning, experimentation, or a related quantitative field
  • Experience designing, building, or significantly evolving large-scale online experimentation platforms
  • Deep knowledge of experimentation design, statistical methodology, and common measurement pitfalls
  • Experience with Bayesian methods, reinforcement learning, contextual multi-armed bandits, or online decision systems
  • Experience modeling delayed outcomes, long-term value, proxy metrics, and incremental lift
  • Strong software engineering fundamentals and experience building reliable production systems
  • The ability to translate product and business problems into rigorous statistical and machine learning approaches
  • Strong product judgment and the ability to connect technical models with customer needs and mental models
  • Experience building personalization, ranking, recommendation, optimization, or allocation systems
  • The ability to communicate complex technical concepts clearly to technical and non-technical stakeholders
  • A pragmatic approach to applied research and a focus on solving real customer problems rather than optimizing in isolation
  • A track record of staying current with developments in experimentation, causal inference, and decision science

What you'll do:
  • Build experimentation frameworks that power every product line across Coframe
  • Develop statistical models for measuring incremental lift, confidence, and long-term business impact
  • Create decision engines that automatically start, stop, ramp, and optimize experiments
  • Design systems that balance exploration and exploitation throughout the experiment lifecycle
  • Build personalization and optimization algorithms that maximize conversion, engagement, revenue, and other customer outcomes
  • Develop simulation and evaluation frameworks for experimentation and online decision systems
  • Build analytics pipelines that transform large-scale behavioral data into actionable insights
  • Develop causal inference and measurement frameworks for noisy, delayed, and incomplete feedback
  • Model long-term value, proxy metrics, and delayed rewards
  • Identify opportunities for automated performance gains across customer programs
  • Analyze existing systems and translate findings into measurable product improvements
  • Build a unified optimization system that operates across multiple Coframe product lines
  • Work closely with engineering, product, and customer-facing teams to ensure statistical methods reflect real-world requirements

Benefits:
  • Flexible (Unlimited) Paid Time Off
  • Medical, Dental, and Vision benefits for you and your family
  • Life Insurance and Disability Benefits
  • 401k Plan with Coframe match
  • Meals covered in-office
  • Gym membership

About us:
  • At Coframe, we are building a future where user and agent interfaces can adapt, evolve, and personalize themselves.
  • We are a primarily in-person company based in San Francisco.
  • We are well-capitalized with backing from Khosla Ventures, Nat Friedman, the founder of Android, and others.
  • We are generating revenue, growing rapidly, and trusted by companies you definitely know.
  • Our team is small and talent-dense, consisting of competitive programmers, former founders, including our founder who previously co-founded a unicorn, and AI researchers from top institutions who have created some of the most popular open-source code generation projects.

"You guys are insane." OpenAI team
"Coframe makes you feel like you have a team of 100 people." Replit team

Apply