Maya K.
Senior Full-Stack Developer
$120/hr
★★★★★4.9
React
Node.js
Hire Data Scientists From the Top 1%: Vetted US ML Engineers and Analysts in 48 Hours
Hire a freelance data scientist in the USA from one brief: we hand-match vetted top-1% data scientists, machine-learning engineers and analytics specialists to your problem within 48 hours. You fund milestones in escrow, so payment releases only for work you have approved.
$110 to 160/hr senior band
48h to shortlist
Find your freelancer
Preview
Role
Budget
Start
Your top matches
2 of 3 can start this week All 3 available this month Flexible start dates
Andrei P.
Senior Backend Engineer
$135/hr
★★★★★5.0
Python
AWS
Jonas W.
Mobile Developer
$110/hr
★★★★★4.9
Flutter
iOS
Sofia R.
Product Designer
$95/hr
★★★★★4.9
Figma
Design systems
Nina H.
UX Designer
$105/hr
★★★★★5.0
Research
Prototyping
Tomás L.
Brand Designer
$85/hr
★★★★★4.8
Identity
Packaging
Daniel O.
Conversion Copywriter
$110/hr
★★★★★4.9
Landing pages
Email
Claire B.
Technical Writer
$90/hr
★★★★★4.9
SaaS docs
API guides
Priya S.
Content Strategist
$75/hr
★★★★★4.8
B2B blogs
SEO briefs
Lucas M.
Growth Marketer
$115/hr
★★★★★4.9
Paid social
CRO
Emma T.
SEO Specialist
$95/hr
★★★★★4.9
Technical SEO
Content
Rafael D.
Performance Marketer
$125/hr
★★★★★5.0
Google Ads
Analytics
Hana Y.
Video Editor
$85/hr
★★★★★4.9
Short-form
Motion graphics
Marco V.
Post-Production Editor
$95/hr
★★★★★4.8
Color grade
Sound design
Alice G.
YouTube Editor
$70/hr
★★★★★4.9
Retention edits
Thumbnails
Rachel N.
Small-Business Bookkeeper
$55/hr
★★★★★4.9
QuickBooks Online
Monthly close
Derek C.
Senior Bookkeeper
$75/hr
★★★★★5.0
Reconciliations
AR and AP
Monica F.
Freelance Accountant (CPA)
$105/hr
★★★★★4.9
Xero
1099 filing
Grace A.
Executive Virtual Assistant
$45/hr
★★★★★4.9
Inbox and calendar
Travel
Bianca T.
Operations Assistant
$38/hr
★★★★★4.9
CRM hygiene
Data entry
Jordan R.
Social Media Assistant
$42/hr
★★★★★4.8
Scheduling
Community
Elena M.
Technical SEO Consultant
$120/hr
★★★★★5.0
Audits
Core Web Vitals
Chris P.
SEO Content Strategist
$95/hr
★★★★★4.9
Topic clusters
On-page
Nadia V.
Link and Digital PR Lead
$105/hr
★★★★★4.8
Outreach
Authority
Dana R.
Google Ads Consultant
$130/hr
★★★★★5.0
Search and lead gen
Conversion tracking
Tomas O.
Paid Search Manager
$110/hr
★★★★★4.9
Shopping and PMax
Feed strategy
Sasha W.
PPC Specialist
$85/hr
★★★★★4.9
Account audits
Budget pacing
Ravi K.
Senior Data Scientist
$140/hr
★★★★★5.0
Python
Forecasting
Laura O.
ML Engineer
$150/hr
★★★★★4.9
scikit-learn
MLOps
Sam B.
Analytics Data Scientist
$115/hr
★★★★★4.9
SQL
Dashboards
Tobias A.
Senior DevOps Engineer
$135/hr
★★★★★5.0
AWS
Terraform
Priya N.
Platform / SRE Engineer
$145/hr
★★★★★4.9
Kubernetes
CI/CD
Marcus C.
Cloud Infrastructure Engineer
$125/hr
★★★★★4.9
Azure
GitHub Actions
Ava L.
Social Media Manager
$65/hr
★★★★★4.9
Instagram
TikTok
Diego M.
Content and Community Manager
$55/hr
★★★★★4.9
Content calendar
Community
Kayla R.
Paid Social Strategist
$85/hr
★★★★★4.8
Meta Ads
Reporting
Julian C.
Management Consultant
$165/hr
★★★★★5.0
Strategy
GTM
Rebecca A.
Operations Consultant
$130/hr
★★★★★4.9
Process design
SOPs
Victor P.
Financial / FP&A Consultant
$150/hr
★★★★★4.9
Modeling
Fundraising
Grace H.
Freelance CPA
$120/hr
★★★★★5.0
Tax prep
Advisory
Nathan D.
Tax Accountant
$110/hr
★★★★★4.9
S-corp
1040 and 1120
Lena P.
Fractional Controller
$135/hr
★★★★★4.9
GAAP close
Financial reports
Dana R.
Direct-Response Copywriter
$115/hr
★★★★★5.0
Sales pages
Email sequences
Marcus B.
Conversion Copywriter
$100/hr
★★★★★4.9
Landing pages
A/B testing
Sara K.
Ad and Brand Copywriter
$90/hr
★★★★★4.9
Paid social
Taglines
Ivan V.
Senior QA Automation Engineer
$105/hr
★★★★★5.0
Playwright
CI pipelines
Priya M.
SDET / Test Engineer
$95/hr
★★★★★4.9
Cypress
API testing
Dana K.
Manual and Exploratory QA Lead
$75/hr
★★★★★4.9
Test plans
Regression
Ravi T.
Certified Salesforce Developer
$125/hr
★★★★★5.0
Apex
LWC
Megan B.
Salesforce Technical Architect
$160/hr
★★★★★4.9
Integrations
Sales Cloud
Carlos O.
Salesforce Admin and Consultant
$95/hr
★★★★★4.9
Flows
Service Cloud
Lena C.
Senior UX Designer
$115/hr
★★★★★5.0
User research
Figma
Devon M.
UI and Interaction Designer
$100/hr
★★★★★4.9
Design systems
Prototyping
Amara K.
UX Researcher
$90/hr
★★★★★4.9
Usability testing
Journey maps
Elena B.
Senior Webflow Developer
$105/hr
★★★★★5.0
Webflow CMS
Interactions
Jordan R.
Webflow Designer and Builder
$90/hr
★★★★★4.9
Figma to Webflow
SEO setup
Tarek S.
Webflow Migration Specialist
$120/hr
★★★★★4.9
WordPress migration
Core Web Vitals
Sofia M.
Certified Legal Translator
$75/hr
★★★★★5.0
ATA certified
Spanish/English
Yuki T.
Localization Specialist
$68/hr
★★★★★4.9
App localization
Japanese/English
Rami A.
Medical and Technical Translator
$82/hr
★★★★★4.9
Life sciences
Arabic/English
Nadia P.
Senior Commercial Illustrator
$105/hr
★★★★★5.0
Brand illustration
Vector
Cole J.
Editorial and Spot Illustrator
$85/hr
★★★★★4.9
Editorial
Procreate
Hana L.
Children's Book Illustrator
$90/hr
★★★★★4.9
Character design
Book covers
Example profiles for preview. Your real shortlist is hand-picked for your brief once your early-access spot opens.
Fund milestone 1 · $1,800 in escrow · $4,800 in escrow · $12,500 in escrow · released on your approval
What they do
What a freelance data scientist actually builds
Data science covers a wide range, and hiring goes wrong when a company asks for a "data scientist" but needs a data analyst, or hires a modeler when the real gap is engineering to get clean data in the first place. A senior freelancer starts by pinning down the actual problem: is this a reporting question, a prediction, an experiment, or a system that has to run in production every day? The answer decides whether you need forecasting, machine learning, or simply a trustworthy pipeline and a dashboard someone will actually read.
Predictive modeling
Churn, conversion, credit risk and demand models built with regression, gradient boosting or deep learning, validated honestly rather than overfit to a demo.
Forecasting
Time-series forecasts for revenue, inventory and capacity that account for seasonality and uncertainty, delivered with confidence intervals, not a single hopeful line.
Machine-learning engineering
Taking a model from notebook to production: clean pipelines, feature stores, versioned experiments and deployment that survives real traffic.
Experimentation and causal work
A/B test design, power analysis and causal inference so you learn what actually moved the metric instead of chasing noise.
Analytics and dashboards
SQL, clean data models and dashboards that answer the question a team keeps asking, with metrics defined once so numbers stop disagreeing.
NLP and applied AI
Classification, extraction, search and LLM-backed features grounded in your data, scoped so they are genuinely useful rather than a demo that breaks in week two.
If the project is really about shipping an AI feature into a product, compare notes with our freelance AI developers page, and when a proven notebook needs to become a service that runs every day, our freelance Python developers productionize the model behind an API while a freelance web developer builds the interface it sits behind.
Rates
Data scientist rates: what to budget in 2026
Why the range is this wide
Data-science rates spread because the title covers everything from a dashboard build to a production ML system. What you are really paying for is judgment: knowing which model fits, when simpler beats fancier, and how to validate so results hold up outside the demo. Scientists on SuperGig keep 100% of their rate, quote it up front, and work milestones you fund through escrow for freelancers.
- Fixed-price milestones for scoped work like a model or pipeline.
- Platform fee is 10% per project, nothing monthly.
- Wrong fit? Free rematch, new shortlist within 48 hours.
| Specialty | Hourly rate | Typical work |
|---|---|---|
| Analytics data scientist | $110 to 135/hr | SQL, data models, dashboards, metric definitions, insight |
| Modeling data scientist | $125 to 155/hr | Predictive models, forecasting, experimentation, validation |
| ML engineer | $135 to 160/hr | Pipelines, deployment, MLOps, monitoring, production models |
| NLP / applied AI specialist | $130 to 160/hr | Classification, extraction, search, LLM features on your data |
| Data engineer (adjacent) | $115 to 150/hr | Ingestion, warehouse modeling, the clean data models depend on |
Bands reflect US-based senior freelancers in 2026. Budgeting a whole project rather than one role? Read how much it costs to hire a freelancer.
Vetting
How data scientists earn a place on the roster
- 01 Portfolio and methods review. Shipped models and analyses, with a hard look at how they were validated. We probe for leakage, overfitting and metrics chosen to flatter, because a good demo hides a lot.
- 02 Technical assessment. A timed problem across statistics, feature engineering, model selection and SQL, defended live so the reasoning is clearly theirs and not a library incantation.
- 03 Live project simulation. A paid task on real, messy data: frame the problem, build a baseline, and explain what you would ship and what you would not. Judged on judgment, not accuracy on a toy set.
- 04 Reference check. Past clients confirm the work made it into production or a real decision, and that the scientist communicated uncertainty honestly rather than overselling.
The screen is built to pass fewer than 1 in 20 applicants. The full checklist is in how to vet a freelancer.
Data readiness decides the timeline
Most data-science projects are slow for one reason: the data is not ready. A senior freelancer will assess that honestly up front, and may recommend a freelance web developer or data engineer to fix ingestion before any model is worth building.
- One accountable scientist, not a rotating bench.
- Escrow milestones tied to validated, reviewable output.
- Handover with code, docs and a monitoring plan.
Briefing guide
How to brief a freelance data scientist
State the decision, not the algorithm
Say what decision the output should change: which customers to call, how much stock to hold, which leads to prioritize. Naming the decision lets a scientist pick the right method and stops you paying for a model nobody acts on.
Describe your data honestly
Where it lives, how clean it is, how far back it goes, and who owns it. Data readiness drives the timeline more than model choice, and hiding the mess just moves the surprise to week three.
Say if it must run in production
A one-off analysis and a model that runs every night are different jobs needing different people. Be clear whether you need an insight or a system, because it changes who you should hire.
Scope a small first milestone
Start with data assessment and a baseline model or analysis. It de-risks the project, gives you something to judge, and tells you whether the full build is worth funding before you commit the budget.
New to hiring on a marketplace? The full process is in how to hire a freelancer, and if you are weighing a solo expert against a shop, read freelancer versus agency.
What matters
The four decisions that shape a data-science project
Analyst or data scientist
Plenty of "we need machine learning" projects are really "we need a trustworthy dashboard and clean metrics." That is analyst work, and it is cheaper and faster. Save a data scientist for genuinely predictive problems: forecasting, scoring, experiments and systems that decide something automatically. Matching the person to the problem is the first place a budget gets wasted, so be honest about which one you actually have.
Simple models beat clever ones
A strong data scientist reaches for the simplest model that solves the problem. A well-tuned logistic regression or gradient boost that a team understands and can maintain usually beats a deep-learning system nobody can debug. Be wary of anyone who leads with the fanciest technique before they have looked at your data. Complexity is a cost you pay every day the model runs, not a badge of quality.
Validation is where trust is earned
A model that scores well in a notebook and fails in production almost always had a validation problem: data leakage, a metric that flattered, or a test set that looked nothing like real traffic. Ask how a candidate validates, how they would detect leakage, and what metric they would report to a skeptical executive. The honest answer includes what the model gets wrong, not just its headline accuracy.
Deployment and monitoring
A model is not done when it is trained. It has to be deployed, monitored and retrained as the world drifts, or it quietly degrades until it is doing harm. If the output needs to run in production, budget for the MLOps: a pipeline, monitoring for drift, and a clear plan for who retrains it and when. Skipping this is why so many models die three months after launch with nobody noticing.
Pricing and the 10% project fee are on the pricing page, and for teams standing up data and AI work across several roles, our freelance management platform covers SSO, compliance and consolidated invoicing.
FAQ
Hiring a data scientist: common questions
How much does it cost to hire a freelance data scientist?
US freelance data scientists typically charge $110 to $160 per hour in 2026. Analytics and dashboarding work sits toward the bottom of that band, while machine-learning engineering, forecasting and MLOps reach the top. A scoped project such as a churn model or demand forecast often runs $15,000 to $60,000 depending on data readiness. Most engagements here are milestone based and funded in escrow.
What is the difference between a data scientist and a data analyst?
A data analyst answers defined questions from existing data using SQL, spreadsheets and dashboards. A data scientist builds new capabilities: predictive models, forecasts, experimentation frameworks and machine-learning systems that make or inform decisions. Analysts explain what happened, data scientists estimate what happens next. Many projects need an analyst first, and only a data scientist once the questions get predictive.
What skills should a freelance data scientist have?
Look for strong Python and SQL, real statistics rather than just library calls, and experience with the model families your problem needs, from regression and gradient boosting to time-series or NLP. Just as important is the engineering to ship: clean pipelines, versioned experiments, and MLOps to deploy and monitor in production. The best also translate a business question into a modeling problem and back.
Can you hire a data scientist for a short project?
Yes. Many data-science needs are project-shaped: a proof of concept, a single forecasting model, a data-pipeline build or an experiment framework. A freelance data scientist is often a better fit than a full-time hire for scoped work, because you get senior expertise for the weeks you need it. Scope milestone one small, such as data assessment and a baseline model, before committing to a full build.
Hire a Data Scientist This Week
Brief your problem today, review a vetted top-1% shortlist within 48 hours, and pay only for milestones you approve.