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Freelance Data Science Mentor Jobs (NOW HIRING)

Grubhub

Senior Staff Data Scientist

New York, NY · On-site

... data science, mentor senior and junior scientists, and collaborate closely with engineering, product, operations, and business leaders to move our ML and analytics capabilities toward scalable ...

Grubhub

Senior Staff Data Scientist

New York, NY · On-site

... data science, mentor senior and junior scientists, and collaborate closely with engineering, product, operations, and business leaders to move our ML and analytics capabilities toward scalable ...

Mindrift

Freelance Data Scraping Engineer (Python)

$37/hr

About the Role This is a freelance role for a Tendem project. As a Python Data Scraping Engineer ... Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related ...

Grubhub

Senior Staff Data Scientist

Chicago, IL · On-site

... data science, mentor senior and junior scientists, and collaborate closely with engineering, product, operations, and business leaders to move our ML and analytics capabilities toward scalable ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned ... You'll be responsible for working with a network of freelance creators to scale DataCamp's blog and ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned ... You'll be responsible for working with a network of freelance creators to scale DataCamp's blog and ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned ... You'll be responsible for working with a network of freelance creators to scale DataCamp's blog and ...

HEB

Manager of Data Science - pXI

San Antonio, TX

As a People Manager of Data Science, your archetype is a Data Scientist Mentor. Your passion is establishing connections between external community thought leaders H-E-B's internal community ...

Poshmark, Inc

Staff Data Scientist

Redwood City, CA · On-site

$188K - $268K/yr

Lead the adoption and application of cutting-edge AI trends and technologies, establishing Poshmark as a pioneer in data science. * Mentor junior scientists/engineers, fostering a culture of ...

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Freelance Data Science Mentor information

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$41.5K

$142.5K

$201K

How much do freelance data science mentor jobs pay per year?

As of Jun 16, 2026, the average yearly pay for freelance data science mentor in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Data Science Mentor vs Data Scientist?

AspectFreelance Data Science MentorData Scientist
CredentialsTypically requires expertise in data science, teaching experience, and industry knowledgeRequires a degree in data science, statistics, or related fields; often with certifications
Work EnvironmentIndependent, remote, flexible schedulingUsually employed by companies, working in office or remote teams
Employer & Industry UsageFreelance platforms, individual clients, educational institutionsTech firms, finance, healthcare, and other industries
Search & Comparison IntentSeeking mentorship, coaching, or freelance teaching opportunitiesLooking for full-time or project-based data science roles

In summary, a Freelance Data Science Mentor primarily offers guidance and training on a flexible, independent basis, while a Data Scientist is typically employed full-time within organizations to develop and implement data solutions.

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Freelance Data Science Mentor jobs near you

Freelance Data Science Engineer (Python & SQL)

Mindrift

Remote

$90/hr

Part-time

Posted 27 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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