Data Scientist remote positions offer 8 available roles with focus on Machine Learning and AI. Top skills are Python, Machine Learning, Data Science, and SQL. RBC, Lemon.io, and Cohere are top employers. All 8 positions are full-time.
Job title
Data Scientist Remote Jobs
Open positions
- No positions for this job title currently
Salary expectations
Average: 210,008 EUR per year – based on 0 job listings.
Experience
Avg. salary
Junior (1–2 yrs)
155,000 EUR
Mid-level (2–4 yrs)
148,750 EUR
Senior (5–9 yrs)
190,082 EUR
Lead / Staff (10+ yrs)
276,556 EUR
In-demand skills
Top skills from 0 job listings
Go
0%
Python
0%
Rust
0%
AWS
0%
ETL
0%
CI/CD
0%
Azure
0%
Postgres
0%
SRE
0%
Kubernetes
0%
Hiring companies
Socure · 10 Pandadoc · 6 Machinifyinc · 4 Impact · 4 Ifoodcarreiras · 4 Gen Digital · 4 RBC · 4 M KOPA · 3 Campus · 3 Revenuecat · 2 Honehealth · 2 Middesk · 2
Similar job titles
What to expect from a remote Data Scientist role
This page groups 0 active openings for Data Scientist across 12 employers. That makes it easier to compare scope, level and hiring patterns for this role.
For positions like Data Scientist, companies usually care about real execution, clear written communication and the ability to deliver without constant supervision.
How to improve your application for Data Scientist
- Tie your experience to ownership, impact and concrete deliverables.
- Show proof of remote work, async collaboration and solid documentation.
- Adapt every application to the role level, company context and tool stack.
Frequently asked questions
What does a Data Scientist do in a remote environment?
Remote Data Scientists develop Machine Learning models, conduct data analysis, and build Predictive Analytics systems. They use Python, SQL, and AWS for data processing. They experiment with different algorithms, evaluate models, and report insights to business stakeholders.
What skills do Data Scientists need?
Essential skills are Python, Machine Learning, Data Science, and SQL. AWS, PostgreSQL, ClickHouse, and Generative AI are valuable. Deep Learning, Statistical Analysis, and Data Visualization are important. Business understanding and communication are crucial.
What is the salary for a remote Data Scientist?
Salary information for these positions is not available. Data Scientists in the global remote market typically earn between €80,000 and €180,000 depending on experience, specialization, and geographic region. Senior Data Scientists and ML Architects achieve higher salaries.
What career development opportunities exist for Data Scientists?
Career paths lead to Senior Data Scientist, ML Engineer, and eventually ML Architect or VP of Data Science. With Python, Machine Learning, and AWS expertise, scientists can specialize in Generative AI or Data Engineering. Many become Tech Leads or transition to AI startups.
Which companies are hiring Data Scientists remotely?
Leading employers include RBC, a global financial institution, Lemon.io, a freelancer network, Truelogic, Cigna Healthcare, and Cohere, an AI company. These companies continuously seek Machine Learning experts for data-driven products.
In which regions are most Data Scientist positions available?
Of 8 positions, 6 are concentrated in the Americas, 4 in Canada, 2 in APAC, 1 in Europe, and 1 in LATAM. North America remains the primary market for remote Data Scientists with stable growth.
Career guide
How do you become a Data Scientist and is it possible to transition to remote work?
Data Scientists typically need a Master's degree in Computer Science, Mathematics, or Statistics, plus deep experience with Machine Learning projects. Transitioning to remote work is excellent since the work happens entirely on a laptop – Git, Jupyter Notebooks, and cloud environments enable fully distributed collaboration.
What tools and skills does a Data Scientist need when working from home?
Python, SQL, and Machine Learning are non-negotiable. AWS, PostgreSQL, ClickHouse, and generative AI are part of the modern toolkit. You'll also need statistics knowledge, data visualization skills, and a passion for data quality. Communication with Product and Business is essential too – it's not just about code.
Is Data Scientist a suitable remote job for beginners?
For beginners, this role is extremely challenging because nearly all positions target experienced Senior or Lead Scientists. With a solid Master's degree and several project portfolios on GitHub, you can apply for Junior Data Science roles, but entry is tough.
What further education or certifications help a Data Scientist grow?
AWS Machine Learning or Google Cloud Data Engineer Certifications are recognized. Courses in Deep Learning (FastAI, Andrew Ng), MLOps, and Advanced SQL are valuable. More important though: personal Kaggle projects or open-source ML contributions demonstrate real skills better than any certification.
What does a typical day look like for a Data Scientist working from home?
You start with data exploration in Jupyter Notebooks. Then you write Python code for feature engineering and train models. In between, you discuss results with Product Managers or explain your model architecture to engineering. You wrap up by documenting work, pushing code to Git, and checking model performance.
How do you stand out in a remote job application as a Data Scientist?
Your portfolio is your strength – showcase 2–3 complete ML projects from data to deployment, not just theory. Explain your feature engineering decisions and the business impact of your models. Live coding is often part of the interview – be ready to demonstrate your Python and SQL skills.