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Freelance Predictive Modeling Jobs (NOW HIRING)

Publicis Groupe Holdings B.V

Data Scientist

Manhattan, NY · On-site

$72.39K - $109.48K/yr

We build inferential and predictive models, including machine learning algorithms and AI; we ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Solomon Page

Solution Architect

Pleasanton, CA · On-site

$111/hr

Advise on AI/ML-driven P2M use cases such as predictive segmentation, personalization, next-best ... Experience applying AI/ML in marketing (e.g., personalization, propensity modeling, audience ...

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How much do freelance predictive modeling jobs pay per hour?

As of May 30, 2026, the average hourly pay for freelance predictive 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.
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Freelance Predictive Modeling jobs near you
Infographic showing various Freelance Predictive Modeling job openings in the United States as of May 2026, with employment types broken down into 34% Full Time, 33% Part Time, and 33% Temporary. Highlights an 79% Physical, and 21% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Freelance Data Science Engineer (Python & SQL)

Mindrift

Remote

$90/hr

Part-time

Posted 10 days ago

Job description

Please submit your CV in English and indicate your level of English proficiency.
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
What this opportunity involves
While each project involves unique tasks, contributors may:
  • Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)
  • Create problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn)
  • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
  • Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction
  • Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility
  • Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency
  • Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)
  • Incorporate big data processing scenarios requiring scalable computational approaches
  • Verify solutions using Python with standard data science libraries and statistical methods
  • Document problem statements clearly with realistic business contexts and provide verified correct answers

What we look for
This opportunity is a good fit for Data Science specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
  • 5+ years of hands-on data science experience with proven business impact
  • Portfolio of completed projects and publications showcasing real-world problem-solving
  • Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)
  • Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications
  • Expert with SQL and database operations for data manipulation and analysis
  • Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
  • Understanding of MLOps practices and model deployment workflows
  • Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)
  • Strong written English (C1+).

How it works
Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid
Project time expectations
For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Compensation
On this project, contributors can earn up to $90 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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