420 Remote Data Scientist Jobs
Explore top remote data scientist jobs and find flexible roles such as data analyst, product analyst on Kickstart Remote. Work from anywhere and advance your career today!
Master’s Scholarship Recipient – Data Science, People Analytics
Cientista de Dados em People Analytics desenvolvendo modelos de recomendação e ranqueamento para recrutamento no ICT Itaú. Preparação, avaliação, implantação e governança de modelos com foco em LGPD e fairness.
Master's Scholarship Recipient – Data Science, People Analytics
Cientista de Dados desenvolvendo modelos de People Analytics para projeto de inovação do Itaú. Trabalho remoto em todo o Brasil, com foco em dados de RH, vieses e governança.
Staff Data Scientist – Ads Measurement, Signals, Privacy
Staff Data Scientist advancing Reddit’s ads measurement, identity, and privacy intelligence. Designing experimentation, identity-resolution, and predictive-modeling methodologies for advertisers.
Data Scientist
Data Scientist building APIs, data products, machine-learning solutions and dashboards for Atos’s global digital transformation business. Supporting cloud deployments, MLOps and AI-enabled operational products.
Mid-Level Data Scientist
Cientista de Dados Pleno explorando grandes volumes de dados e desenvolvendo modelos de Machine Learning. Produção de análises estatísticas, dashboards e aplicações escaláveis.
Data Science ML/GenAI Engineer
Data Scientist building production ML, NLP, and GenAI solutions for Irth’s critical-infrastructure SaaS platform. Developing Databricks pipelines and maintainable software for damage prevention and asset integrity.
Staff Product Manager, Data
Staff Product Manager owning reporting, analytics, and data foundations for Built’s AI-powered real estate finance platform. Driving data products used by lenders, owners, and contractors.
Senior Data Scientist – AI
Cientista de Dados Sênior desenvolvendo agentes de IA para priorizar ordens de compra e otimizar estoques. Grupo SysMap, empresa brasileira de tecnologia e transformação digital.
Big Data Lead, MDM, PySpark
Data Engineering Lead leading enterprise pipelines, data products, and canonical models for Hexaware. Driving scalable data solutions, reliability, and engineering team development.
Principal Data Scientist – Advanced Analytics
Principal Data Scientist leading experimentation, causal inference, machine learning, and Generative AI. Advancing Vericast’s data-driven solutions for banks and credit unions.
Senior AI & Data Scientist
Senior AI and data scientist architecting production ML solutions for Alignment Health’s senior-care platform. Driving healthcare analytics, deployment, and technical mentorship.
Data Scientist/AI Engineer
Senior Data Scientist/AI Engineer building production machine learning models and LLM applications at Ambush. Delivering RAG, multi-agent, and real-time AI solutions for business-critical client use cases.
Data Scientist / ML Engineer
Senior ML Engineer building forecasting, optimization, and AI applications for Ambush, an engineering, design, strategy, and AI consultancy. Deploying secure Python services and production machine-learning systems.
Project Manager, Data-Focused
Project Manager supporting TEKsystems’ enterprise data programs through governance, report migration, user adoption, and cross-functional coordination. Fully remote contract based in Seattle, Washington.
Project Manager, Data – Non-technical
Remote Project Manager coordinating enterprise data programs for TEKsystems. Supporting user adoption, report migration, governance, risk tracking, and cross-functional delivery.
Project Manager, Data Program
Project Manager coordinating enterprise data initiatives, report migrations, and user adoption efforts for TEKsystems. Tracking milestones, risks, deliverables, and stakeholder communications remotely.
Data Science
Data Scientist developing analytical and AI solutions for Compass UOL, a company transforming organizations with Artificial Intelligence and Generative AI. Analyzing HR timekeeping and workforce data.
Associate Data Manager
Associate Data Manager reconciling and validating laboratory data streams for LabConnect. Delivering compliant clinical-trial data transfers and resolving client queries.
Mid-Level Data Scientist – Image Geoprocessing, GIS
Cientista de Dados desenvolvendo modelos de machine learning e soluções geoespaciais para o agronegócio. Consultoria BIP Brasil apoiando decisões com imagens de satélite e dados analíticos.
Provincial Product Analytics Consultant
Product analytics consultant delivering business insights and dashboards for Allstate Canada’s personal insurance portfolio. Supporting strategic decisions through performance analysis, reporting automation, and stakeholder recommendations.
Remote data scientist salary expectations & hiring insights
Looking to build your career in data scientist?
According to our job data analysis, the average remote data scientist salary is $149,109 per year, based on insights from over 565 job listings.
These roles span across startups (2–10 employees) to established firms (51–200 employees).
The demand for remote data scientists continues to grow rapidly, with top companies like Canva and Experian offering roles such as Data Analyst and Product Analyst.
Salary breakdown by experience
| Experience level | Average salary |
|---|---|
| Entry-level | $15,934 |
| Junior | $111,030 |
| Mid-level | $128,783 |
| Senior | $149,931 |
| Lead | $189,746 |
Skills hiring teams expect
Hiring managers consistently highlight Python (17.4%) as the must-have skill for remote data scientist roles. SQL (12.9%) follows closely, showing how teams blend analytical depth with modern tooling. We parsed live job descriptions to surface the most requested capabilities.
17.4%
12.9%
7.1%
6.2%
4.7%
Companies leading remote hiring
Organizations such as Canva (11), Experian (10), Tiger Analytics (7), Precision Medicine Group (7), and Truelogic Software (7) have published the most openings lately, offering a snapshot of the employers investing in distributed data scientist talent.
Top regions hiring remotely
🇺🇸 United States accounts for the largest share of distributed data scientists openings, capturing 68.4% of the listings we track. 🇧🇷 Brazil adds another 9.5%, proving that teams are scaling far beyond a single time zone. Use this regional data to target your outreach and tailor availability windows.
65 listings
9 listings
8 listings
7 listings
6 listings
Education trends
Postgraduate Degree remains the most frequently cited credential, appearing in 22.8% of verified postings. Bachelor Degree requirements show up in 76.3% of roles, so highlight comparable experience if your path differs. Mentioning equivalent coursework or certifications helps recruiters validate your background quickly.
22.8% of postings
76.3% of postings
0.4% of postings
0.4% of postings
Ask our talent partners
FAQs about Data Scientist
Quick answers we share most often with job seekers exploring data scientist paths.
Question 1What skills do you need to get a remote Data Scientist job?
You need strong programming skills in Python and SQL for data manipulation and analysis. Experience with cloud platforms like AWS and machine learning libraries such as Scikit-Learn is also highly valued.
Question 2What qualifications do you need to get a remote Data Scientist job?
Most positions require a bachelor's degree in a quantitative field like computer science or statistics. A master's degree or proven project experience with Python and machine learning can strengthen your application.
Question 3What are the responsibilities of someone who does a remote Data Scientist job?
A remote Data Scientist cleans large datasets, builds predictive models using tools like Scikit-Learn, and communicates findings to stakeholders. They use Python and SQL to extract insights that guide business decisions.
Question 4What are the benefits of a remote Data Scientist job?
This role offers great flexibility in your work location and schedule. You also gain exposure to diverse, global business problems without a daily commute.
Question 5What does a typical day look like for a remote Data Scientist?
A typical day involves writing code in Python, querying databases with SQL, and collaborating with your team via video calls. You might also test a machine learning model or present your latest findings.
Question 6What tools do remote Data Scientist teams commonly use?
Teams frequently use Python, SQL, and cloud services like AWS for their core work. Collaboration happens through platforms like Slack, GitHub, and Jupyter notebooks for shared analysis.
Question 7How can you grow your career as a remote Data Scientist professional?
Focus on mastering advanced techniques in machine learning and cloud infrastructure like AWS. Building a strong portfolio of projects and seeking mentorship will also accelerate your growth.
Question 8Why is Data Scientist important in remote-first companies?
Data Scientists help remote companies make informed, data-driven decisions without relying on gut feelings. They turn user and operational data into a strategic asset for the entire business.