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Magazine Model Jobs (NOW HIRING)

Stem Xpert

Data architect

Lansing, MI

$64.75 - $83.25/hr

... Magazine 2014- America's Fastest Growing Company by Inc.com 2014- Michigan 50 Companies to Watch ... Data modeling: conceptual, logical and physical modeling using Erwin, ER Studio and Power Designer.

Stem Xpert

Business analyst eagle pace

New York, NY

... Magazine 2014- America's Fastest Growing Company by Inc.com 2014- Michigan 50 Companies to Watch ... Strong knowledge of Eagle STAR, PACE, Eagle Data Model, Message center, Eagle ML Data Mart, Reports ...

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$31

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How much do magazine model jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for magazine model in the United States is $31.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $39.18 per hour, depending on experience, location, and employer.

What is a Magazine Model job?

A Magazine Model is a professional who poses for photographs featured in magazines, including fashion, beauty, lifestyle, and editorial publications. They work with photographers, stylists, and makeup artists to create compelling images that align with the magazine's theme or brand. Magazine models must have strong posing skills, confidence, and adaptability to different styles and concepts. This role often requires casting calls, agency representation, and a strong portfolio to secure jobs.

What are the key skills and qualifications needed to thrive in the Magazine Model position, and why are they important?

To thrive as a Magazine Model, you need a well-groomed appearance, strong posing skills, and the ability to take direction, often supported by portfolio development and agency representation. Familiarity with photo shoot settings, lighting techniques, and sometimes digital portfolios or comp card creation is valuable. Professionalism, punctuality, confidence, and adaptability help models stand out, along with effective communication and teamwork. These competencies are vital for meeting client expectations, producing high-quality images, and fostering repeat opportunities in a competitive industry.

What does a typical workday look like for a Magazine Model?

A typical day as a Magazine Model often begins with preparation—arriving early for hair, makeup, and wardrobe fitting before a photoshoot. Models work closely with photographers, stylists, and creative directors to achieve the desired visual results, frequently making quick adjustments in pose, expression, and styling. The schedule can vary, sometimes involving full-day shoots, travel, or fitting sessions. Between assignments, magazine models may attend castings, update their portfolios, and maintain their professional appearance. The role is highly collaborative and dynamic, with each day bringing new creative challenges and opportunities.
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Magazine Model jobs near you
Infographic showing various Magazine Model job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 85% Full Time, and 14% Part Time. Highlights an 76% Physical, 1% Hybrid, and 23% Remote job distribution, with an average salary of $65,246 per year, or $31.4 per hour.

Senior Data Scientist, Data & AI Team

Hearst Newspapers

New York, NY • Hybrid

Full-time

Medical, Dental, Vision

Posted 10 days ago

Job description

Be Part of What's Next 

Hearst Magazines is seeking a visionary and hands-on Senior Data Scientist to join our dynamic Data & AI team. In this pivotal role, you will be a key player in architecting and implementing the advanced data models that power personalized user experiences, drive our next-generation advertising products, and provide deep, actionable insights to our world-class editorial and commercial teams. You will tackle complex challenges at the intersection of machine learning, user behavior, and content strategy, with a direct impact on the trajectory of our iconic brands.

About Hearst Magazines ( Why Us?)

Hearst Magazines' portfolio of more than 30 iconic brands in the U.S.-including Cosmopolitan, ELLE, Esquire, Good Housekeeping, Harper's BAZAAR, and Popular Mechanics - inspires, entertains, and builds new and bold experiences for an engaged and growing audience across digital, video, social and print, reaching nearly 130 million readers and site visitors each month. With sophisticated content creation, cutting-edge technology, and industry-leading data capabilities, we make media and products that move people across all platforms. We are a global media company that publishes nearly 200 magazine editions and 175 websites around the world-and together, we are shaping what's next. 

Key Responsibilities(What are you doing)

  • Lead and Innovate: Design, develop, and deploy sophisticated machine learning models to address core business challenges, including user segmentation, content recommendation, churn prediction, and lifetime value modeling.
  • Strategic Impact: Partner with product, engineering, editorial, and revenue teams to identify and execute on data science initiatives that drive measurable business outcomes.
  • Full-Cycle Development: Own the end-to-end data science workflow, from hypothesis generation and data exploration to model building, validation, and deployment into production environments.
  • Advanced Analytics: Conduct in-depth exploratory analysis of large, complex datasets to uncover hidden patterns, trends, and opportunities for innovation.
  • Mentorship: Provide guidance and mentorship to junior data scientists and analysts, fostering a culture of technical excellence and collaborative problem-solving.
  • Thought Leadership: Stay at the forefront of advancements in data science and machine learning, and champion the adoption of new technologies and methodologies within the organization.

Qualifications (What We're Looking For)

  • Experience: 7+ years of experience in a data science role, with a proven track record ofdeveloping and deploying impactful machine learning models in a production environment.
  • Technical Expertise: 
    • Expert proficiency in Python and SQL.
    • Deep understanding of machine learning algorithms (e.g., regression, classification, clustering, NLP) and statistical modeling.
    • Hands-on experience with machine learning libraries and frameworks such as Scikit-learn, TensorFlow, or PyTorch.
    • Experience with big data technologies (e.g., Spark, BigQuery) and cloud platforms (GCP, AWS).
  • Strategic Mindset: Ability to translate complex business problems into well-defined data science projects and communicate technical concepts effectively to non-technical stakeholders. 
  • Leadership: Demonstrated ability to lead projects, mentor junior team members, and collaborate effectively across cross-functional teams.
  • Education: Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline is preferred.
  • This is a hybrid position based in New York City, with an in-office requirement of four days per week. 

Benefits (What We Offer) 

  • Work with the Best: Collaborate with top-tier professionals across media, advertising, tech, fashion, lifestyle, and publishing, shaping the future of these dynamic industries. 
  • Grow Your Skills: Unlock your potential with access to innovative training programs, immersive workshops, and exclusive industry events. 
  • Work-Life Harmony: Enjoy the flexibility of hybrid work, empowering you to balance professional success with personal priorities. 
  • Foster Connection & Belonging: Join our Employee Resource Groups and help create a welcoming workplace where everyone feels valued and empowered. 
  • Wellness First: Prioritize your well-being with a comprehensive benefits package that includes medical, dental, and vision insurance from Day 1. 

The base salary for this role is between $149,000-$181,00. The actual base pay offered is dependent upon many factors, such as: transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. 

Hearst Magazines is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. 

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