Start hiring vetted developers from Claude Code or ChatGPT

Hire Remote Data Scientists

Scale your data capabilities with dedicated data scientists who build predictive models, run experiments and turn data into decisions.

Check CVs now
  • Brian

    Data Scientist

    Canada/(GMT -5:00)

    Brian is an ML engineer who builds large-scale Python data and model platforms, most recently turning hundreds of millions of device signals into a cookieless household graph that lifted campaign ROI by 20 to 30%. He also built a cross-orchestrator MLOps layer for Kubeflow, Vertex AI, and Cloud Composer, and later shipped real-time audio classification and generative media pipelines on AWS.

    Experience

    8 years

    Availability

    Full-time

  • Daniel

    Data Scientist

    United Kingdom/(GMT)

    Daniel is a data scientist working in Python, Pandas, scikit-learn, and SQL, with recent work in semiconductor manufacturing. He built ML systems for wafer yield prediction and automated die screening, replacing manual screening with an XGBoost model and SHAP-based explanations integrated into production ETL.

    Experience

    8 years

    Availability

    Full-time

  • Cindy

    Data Scientist

    United States/(GMT -5:00)

    Cindy is a data scientist working in Python, SQL, XGBoost, and AWS who rebuilt ad-scoring systems end to end. She turned a manual scoring workflow into an event-driven pipeline that cut turnaround from 1.5 weeks to under 2 minutes, and redesigned a degraded model to produce differentiated predictions for the first time in 4 years.

    Experience

    6 years

    Availability

    Full-time

  • Marcello

    Data Scientist

    Brazil/(GMT -3:00)

    Marcello is an AI engineer who works in Python, LangChain, and RAG, recently building an extractor agent that turns PDFs, images, and spreadsheets into structured data with a regression-tested benchmark suite. Earlier he built reinforcement learning agents with human-like gameplay for a major game studio.

    Experience

    14 years

    Availability

    Full-time

  • Diogo

    Data Scientist

    Canada/(GMT -5:00)

    Diogo is a Python ML engineer who builds both custom models and production RAG systems. He now leads a legal prediction platform trained on 30M+ case records, where his transformer models beat frontier LLMs by 3x+, and earlier built a LangChain assistant over a 100K+ database that cut time to insight by 30% and saved 300+ hours a month.

    Experience

    7 years

    Availability

    Part-time & Full-time

  • Omer

    Data Scientist

    Turkey/(GMT +3:00)

    Omer is an ML engineer working in Python, PyTorch, and TensorFlow who has built medical vision models for COVID-19 and skin cancer detection, including X-ray diagnosis that reached 92% accuracy and lesion classification above 95% sensitivity and specificity. More recently, Omer trained UI detection models for 30+ elements and deployed them on AWS SageMaker.

    Experience

    9 years

    Availability

    Part-time

  • Alexander

    Data Scientist

    United Kingdom/(GMT)

    Alexander is an ML engineer working in Python who builds explainable models and document pipelines for high-stakes workflows. As the sole ML consultant for a major energy-trading venue, he replaced a misused RAG classifier with an interpretable trade-likelihood model, and he later built an OCR plus LLM pipeline that cut fund-document processing from hours to minutes.

    Experience

    8 years

    Availability

    Part-time & Full-time

  • Amandeep

    Data Scientist

    Canada/(GMT -5:00)

    Amandeep is a data scientist working in Python, scikit-learn, TensorFlow, Databricks, and MLflow, with recent finance work on real-time credit risk models deployed on Azure and AWS. In that system, she raised accuracy from 67.4% to 82% and delivered about 18% YoY impact through better risk decisions.

    Experience

    6 years

    Availability

    Part-time

  • Tarik

    Data Scientist

    Turkey/(GMT +3:00)

    Tarik is a Python ML engineer who builds LLM products end to end, from RAG search and enterprise assistants to FastAPI APIs. He designed a newsroom retrieval system over 100k+ documents with editorial guardrails, and earlier built a multi-tenant recommender for 700 tenants and 700K+ users serving 100K+ recommendations a day.

    Experience

    12 years

    Availability

    Part-time

  • Log in to see more

Developers who got their wings at

How it works

How to hire a data scientist in days, not months

1

Fill in a short form

Tell us about your project, timeline and hours, then look through our vetted data scientists.

2

Take a 30-minute call

A Lemon.io matching expert goes over your needs and gives you a budget estimate.

3

Meet 1–3 candidates

You get 1–3 scientist profiles, usually within 24 hours. Interview them the way you normally would.

4

Start working

Your data scientist joins your team part-time or full-time and works directly with you.

Testimonials

Start to finish in under a week with zero wasted time

Reached out on Monday evening, connected Tuesday morning, had four qualified candidates by Wednesday.

Brian DeSpainBrian DeSpainCEO, 10X ERP
High quality, well-qualified developers

We had an excellent experience. Process is fast from the initial intake through setting up payment.

Katie RoyKatie RoyExecutive Director, The SPEND Initiative
7 developers hired in 24 hours

The developers helped us speed up. They quickly learned their part of the app and we’re grateful for their contribution.

Conor MackenConor MackenDirector of Engineering, tvScientific

Review the role and rates before hiring a data scientist

Lemon.io does the hiring work. You pick the data scientist.

We vet every scientist

Every data scientist passes a live interview with a senior engineer. We accept 1.2% of applicants.

Ex-PayPal, Meta, Uber

We hand-pick your matches

A matching expert picks people by your stack, domain and time zone, and tells you why each one fits.

Human, not a filter

We handle the paperwork

We handle contracts, NDAs and invoices. You pay Lemon.io, and we pay your scientist.

You own the IP

We stay after you hire

Your Lemon.io manager stays in touch with you both. If it doesn't work out, we find a replacement for free.

Free replacement

The lemon tea

Data scientists who tie models to decisions

A model only matters if it changes a decision. Our data scientists start from the business question and pick the simplest method that answers it.

What you should know about modern Data Science devs

When you’re slogging through the process of hiring Data Scientists, everything slows down. Your team interviews, vets, and discusses every candidate, keeping them from doing their jobs. Our streamlined hiring process accelerates and simplifies recruitment, allowing your team to return to their jobs.

Quality talent

Every one of our 1300+ senior engineers has progressed through four levels of vetting, so you can be confident you’re hiring quality.

Faster hiring

We match your startup with a list of devs that meet your requirements within 48 hours, so you can focus on your GTM roadmap.

100% Guaranteed

If, for whatever reason, you aren’t completely satisfied with your engineer, we’ll match you with another free of charge.

Connect to an ocean of talent

You want to hire Data Scientists who perfectly match your needs. Remote talent gives you an almost endless selection so you can find your perfect dev.

Find affordable talent

The high cost of living in cities makes hiring prohibitively expensive. Look beyond your backyard for talent with all of the skills at a third of the cost.

Build agility into your hiring

Match the size of your team to the size of your project. When there’s too much work, remote contractors add resources to your team on call, then disappear after.

Lower fixed overhead costs

Every in-house hire comes with hidden costs – work spaces, computers, desks. Remote contractors supply their own, helping you lower your office costs.


Book a call with an expert so you can be sure in your hiring strategy

Book a call

Why hire Data Science

We Know What Makes a Great Data Scientist — So You Hire the Best

Hiring a Data Scientist isn’t about buzzwords—it’s about turning messy data into clear, actionable insights that drive smarter decisions. At Lemon.io, we connect you with Data Scientists who don’t just analyze—they deliver real impact:

Statistical Expertise

Skilled in Python, R, SQL, and ML libraries like scikit-learn & XGBoost

Business-First Thinking

They don’t just crunch numbers—they solve problems that move metrics

Data Pipeline Ready

Experienced in wrangling data, feature engineering, and model deployment

Fast Onboarding

Start working with a vetted Data Scientist in days

Case studies

Aerospace

The experience with Lemon.io has been fantastic. The interview process has been good, the caliber of people – excellent and integration has been very smooth.

Marc Horowitz
Marc HorowitzCOO of SkyFi
Explore case
Telecommunications

We needed extra developers to clean off all these bugs so the company could skyrocket.

Conor Macken
Conor MackenDirector of Engineering
Explore case
AI

We needed extra AI engineers to keep our ambitious project running.

Mike Lukiman
Mike LukimanFounding Senior Software Engineer at Everstar.ai
Explore case

Frequently asked questions

How hard is IT to hire a Data Scientist?

Usually, it’s hard to find a relevant candidate for a Data Scientist’s position. It’s difficult to hire a Data Scientist because of the high demand for them in the market: employment for these specialists is projected to grow by 35 percent from 2022 to 2032 according to the Bureau of Labor Statistics.

Going through numerous resumes and profiles of Data Scientists can also be extremely time-consuming and overwhelming, as well as setting up interviews and technical tasks to find the best candidates. If you prefer to streamline this process and focus on other tasks, Lemon.io is at your service. We will select 2-3 vetted candidates who meet all your requirements in 48 hours.

How much does it cost to hire a Data Scientist?

The cost to hire a Data Scientist could vary due to different seniority levels, skill sets, number of years of experience, and location. The rate depends on those factors. Usually, the rates for in-house workers and independent contractors are different. The cost of hiring a Senior Data Scientist in the US, San Jose, ranges from $149K – $194K, according to GlassDoor.

What are the best certifications for Data Scientists?

The best certifications for Data Scientists are Microsoft Certified: Azure Data Scientist Associate (DP-100), Google Professional Data Engineer, AWS Certified Machine Learning – Specialty, IBM Data Science Professional Certificate, Certified Analytics Professional (CAP), SAS Certified Data Scientist, Databricks Certified Associate Developer for Apache Spark, Cloudera Certified Professional Data Scientist (CCP DS), Oracle Certified Professional: Data Scientist, Tableau Desktop Specialist and Tableau Desktop Certified Associate/

What is the hourly rate for Data Scientists?

The average hourly rate for a Senior Data engineer’s contract in San Jose, US, ranges from $73 to $97, according to GlassDoor. The rate depends on various factors: seniority level, skill sets, and number of years of experience.

Are Data Scientists still in demand?

Yes, Data Scientists are in demand. It’s caused by the ongoing development of various industries, resulting in steady demand from companies seeking to hire Data Scientists.

Can I hire a Data Scientist in less than 48 hours through Lemon.io?

You can hire a Data Scientist in 48 hours through Lemon.io. In 48 hours, our team will manually find you a Data Scientist in our pre-screened community.
All the Data Scientists in our talent pool have already successfully passed a few vetting stages: VideoAsk, completion of their me.lemon profile, a screening call with our recruiters that includes various technical questions, and a technical interview with our technical interviewers.

How do I hire a Data Scientist?

To hire a Senior Data Scientist, you need to create a list of relevant questions for the screening calls and tech skills interview. Also, it’s necessary to consider the budget, timeline, and type of employment: you can hire a Data Scientist as an employee or work with them as an independent contractor.
In both cases, Lemon.io can help you find the perfect candidate for your project.

What is the no-risk trial period for hiring Data Scientists on Lemon.io?

A no-risk paid trial period with Lemon.io is up to 20 hours, during which you can use the option to assess how a Data Scientist works on real tasks before signing up for a subscription.
Additionally, we would like to highlight that we have a zero-risk replacement guarantee. This means that if your lemon.io Data Scientist misses deadlines or fails to meet expectations, we’ll offer to you a new remote Data Scientist. We have never had to do this before because only 1% of top applicants can join our community, but we promise our client support could be more supportive than your family.

Data Science is not the best fit?

Hire developers by role

Ready-to-interview

Vetted Data Science developers are waiting for your request. Hire in-house or on contract. Zero complexity either way.

Hire data scientists