407 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!
Lead Analytics Consultant, Real World Data Insights
Lead healthcare data consultant shaping pre-sales real-world evidence solutions. Analyzing linked patient data and guiding clients through feasibility, data selection, and research design.
Lead Analytics Consultant, Real World Data Insights
Lead analytics consultant guiding HealthVerity clients in using privacy-protected healthcare data. Translating real-world data into research insights, training, and post-sale solutions.
Marketing Operations, Data Manager
Marketing operations manager building analytics, SEO, attribution, and ABM infrastructure. Advancing Cyclops’ stablecoin and crypto platform for payments companies.
Data Scientist
Senior Data Scientist applying machine learning, statistical modeling, and analytics to solve organizational problems. Supporting business decisions through predictive models and data-driven insights.
Data Scientist
Senior Data Scientist using machine learning, statistical modeling, and analytics to support business decisions. Building predictive solutions and dashboards for complex organizational problems.
Senior Healthcare Data Scientist – Medicare/Medicaid
Senior data scientist developing generative AI and predictive models for GDIT’s Medicare and Medicaid fraud detection programs. Analyzing claims and CMS data to improve program integrity.
Healthcare Data Scientist – Medicare/Medicaid
Data Scientist supporting GDIT’s Medicare/Medicaid fraud, waste, and abuse analytics. Building machine-learning, generative-AI, claims-data, and visualization solutions.
Lead Insurance Data Scientist – P&C
Data Scientist building analytics, dashboards, and applications for EPIC’s commercial property-and-casualty insurance business. Operationalizing insights on Azure Databricks with engineers and stakeholders.
Configuration and Data Manager
Configuration and data manager supporting SPA’s DoD cloud-native Platform as a Service capability. Governing system baselines, data artifacts, change control, and compliance across technical teams.
Senior Manager, Data Science
Senior Data Science Manager leading AI, machine learning, and analytics for Signature Aviation’s global private aviation network. Building data platforms and coaching a high-performing analytics team.
Senior Data Science Analyst
Analista de Ciência de Dados na Nestlé, maior empresa mundial de alimentos e bebidas. Desenvolvendo modelos de machine learning e produtos de dados para soluções de negócio.
Internship – Data Scientist
Data-Science-Praktikum/Masterarbeit bei Rewoso zur Entwicklung prädiktiver Modelle aus anonymisierten Patientendaten. Analyse, Validierung und Interpretation für digitale Gesundheits- und Versorgungsanwendungen.
Senior Data Scientist
Senior Data Scientist building production ML models for FourKites’ AI-driven supply-chain visibility platform. Owning forecasting, NLP extraction, deployment, monitoring, and automation.
Senior Data Scientist
Senior Data Scientist building production ML models for FourKites’ AI-driven supply chain visibility platform. Owning forecasting, NLP extraction, monitoring, and automation from pipeline to deployment.
Data Scientist II
Data Scientist building and deploying customer-intelligence models for CSI’s banking software platform. Supporting segmentation, behavioral prediction, monitoring, and client-facing insights.
Data Scientist III
Data Scientist III leading production machine-learning and customer analytics for CSI’s banking software platform. Owning predictive-model lifecycles and partnering with product, engineering, and MLOps teams.
Senior Data Scientist – AI, ML, FinTech
Data Scientist entwickelt produktive Machine-Learning-Modelle für Europace, Deutschlands Plattform für Ratenkredite. Verantwortung von der Modellidee bis zum Deployment und zur Optimierung.
Staff Data Scientist
Staff Data Scientist developing advanced machine-learning models for MindBridge Analytics’ enterprise datasets. Leading experimentation, production deployment, technical standards and mentorship.
Manager, Data Science – Credit & Fraud Risk Modeling
Data science manager building production credit and fraud risk models for Kafene's lease-to-own fintech platform. Shaping approvals, credit limits, default predictions, and loss forecasts.
Senior Data Scientist
Senior Data Scientist building statistical models for Paramount’s DTC streaming business. Optimizing pricing, forecasting growth, and informing content and marketing investment decisions.
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.