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Freelance Mathematical Modeling Jobs (NOW HIRING)

Senior Data Scientist

Chicago, IL · On-site

$89 - $127/hr

Building and testing scalable data pipelines or models for real-time applications. * Summarizing ... A Bachelor's or Master's degree in a quantitative field such as statistics, mathematics ...

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Freelance Mathematical Modeling information

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$14

$47

$132

How much do freelance mathematical modeling jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for freelance mathematical modeling in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is freelance mathematical modeling?

Freelance mathematical modeling involves using mathematical methods and computational techniques to solve real-world problems for clients on a project or contract basis, rather than as a full-time employee. Freelancers in this field may develop and analyze mathematical models for industries such as finance, engineering, healthcare, or data science. They often work independently, tackling problems like predicting trends, optimizing processes, or simulating complex systems. This role typically requires strong analytical skills, proficiency in mathematics and programming, and the ability to communicate solutions effectively to clients.

What are the typical challenges faced by freelance mathematical modeling professionals when managing multiple projects?

Freelance mathematical modeling professionals often juggle several projects simultaneously, each with distinct objectives and timelines. A common challenge is prioritizing tasks efficiently while adapting to different clients' communication styles and expectations. Additionally, freelancers must ensure their models are both accurate and tailored to specific industry needs, which can require rapid learning and flexibility. Effective time management, clear client communication, and ongoing skill development are key to overcoming these challenges and delivering high-quality results.

What are the key skills and qualifications needed to thrive as a freelance mathematical modeler, and why are they important?

To thrive as a Freelance Mathematical Modeler, you need strong analytical skills, a solid background in mathematics or applied mathematics, and experience with statistical analysis. Proficiency in programming languages (such as Python, MATLAB, or R), modeling software, and possibly certifications in data analysis or modeling are highly valuable. Excellent problem-solving abilities, communication skills, and adaptability help in understanding client needs and presenting complex results clearly. These skills are essential to deliver accurate, actionable models and maintain strong client relationships in a competitive freelance environment.

What is the difference between Freelance Mathematical Modeling vs Data Scientist?

AspectFreelance Mathematical ModelingData Scientist
CredentialsMathematical, statistical, or engineering degrees; often self-taught skillsDegree in computer science, statistics, or related fields; certifications like SAS, Python, R
Work EnvironmentIndependent, remote, project-basedCorporate, research labs, or consulting firms; often team-based
Industry UsageConsulting, research, specialized projectsTech, finance, healthcare, e-commerce
Search & Comparison IntentProject-based, specialized modeling tasksData analysis, predictive modeling, machine learning

Freelance Mathematical Modeling involves independent, project-specific work focusing on creating mathematical representations. Data Scientists typically work within organizations, applying statistical and machine learning techniques to analyze data. Both roles require strong analytical skills, but Freelance Mathematical Modeling emphasizes independent consulting, while Data Scientists often work as part of a team in corporate settings.

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What cities are hiring for Freelance Mathematical Modeling jobs?

Cities with the most Freelance Mathematical Modeling job openings:

What are the most commonly searched types of Mathematical Modeling jobs?

The most popular types of Mathematical Modeling jobs are:

What states have the most Freelance Mathematical Modeling jobs?

States with the most job openings for Freelance Mathematical Modeling jobs include:

Infographic showing various Freelance Mathematical Modeling job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

$88K - $127K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 hours ago


Job description

Company description
Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign's Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world's leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries.
The Digitas culture is made up of fearless, inventive and generous Unicorns of all kinds.
Overview
As a Senior Data Scientist, you'll solve complex marketing and business challenges-from cross-channel media and customer experience optimization to segmentation, targeting and business strategy-by accessing, integrating, manipulating, mining and modeling a wide array of data sources.
Job Responsibilities:
  • Translating and reframing marketing and business questions into analytical plans.
  • Using distributed computing systems to ingest, access and integrate disparate big data sources.
  • Conducting extensive exploratory analysis to identify relevant insights, useful transformations and analytical applications.
  • Applying quantitative techniques, including statistical and machine learning, to uncover latent patterns in the data.
  • Building and testing scalable data pipelines or models for real-time applications.
  • Summarizing, visualizing, communicating and documenting analytic concepts, processes and results for technical and non-technical audiences.
  • Collaborating with internal and external stakeholders to establish clear analytical objectives, approaches and timelines.
  • Sharing knowledge, debating techniques, and conducting research to advance the collective knowledge and skills of our Data Science practice.

We're looking for rigorous analytic training and 3+ years professional experience in a data science or analytics role, which typically includes:
  • A Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, econometrics, operations research, data science, computer science, engineering, marketing or social science methods.
  • Hands-on experience mining data for decision-focused insights.
  • Hands-on experience running common statistical or machine learning procedures, such as descriptive statistics, hypothesis testing, dimension reduction, feature transformation, supervised or unsupervised learning.
  • Hands-on experience using Python or R, SQL, and distributed computing systems such as Hadoop or AWS. Familiarity with Linux and/or Spark preferred.
  • Demonstrated interest in marketing analytical applications.
  • Demonstrated self-starter who thrives in a fast-paced environment with flat structure.
  • Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALL• E, Midjourney) is a plus, especially for tasks like ideation, research, or content generation.

Got the sparkle? Apply if you believe your unique skills are a fit.
Additional Information
Digitas is an equal opportunity employer.
Additional information
Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.
All your information will be kept confidential according to EEO guidelines.
Compensation Range: USD $88,540.00 - USD $127,155.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 9/15/2026.