Develop new measurements, KPIs, and models to describe internet quality of service and experience. Collaborate with data engineers and product managers to transform methodologies into viable data products.
Remote Data Scientist Salary – updated August 2026
The average salary for remote data scientist is $120,000 per year. This is based on data from 829 job openings.
Where do you get the data from?
Data is based on 829 job openings.
How much does a Data Scientist make?
The salary range for data scientist is anywhere between $70,000 to $200,000 per year.
Can you provide a breakdown of salary data by years of experience?
Below is a breakdown of salary data by years of experience:
| EXPERIENCE | MINIMUM SALARY | AVERAGE SALARY | MAXIMUM SALARY |
|---|---|---|---|
| Entry Level Data Scientist (0-1 years) | $70,000 | $82,500 | $95,000 |
| Mid Level Data Scientist (2-4 years) | $95,000 | $112,500 | $130,000 |
| Senior Level Data Scientist (5-9 years) | $130,000 | $145,000 | $160,000 |
| Lead Level Data Scientist (10+ years) | $160,000 | $180,000 | $200,000 |
* Data is based on 829 job openings.
What is the salary range for remote Entry-Level Data Scientist?
The salary range for entry-level data scientist is between $70,000 and $95,000 per year.
What is the salary range for remote Senior-Level Data Scientist?
The salary range for senior-level data scientist is between $130,000 and $160,000 per year.
Can Data Scientist be fully remote?
Yes, Data Scientist positions can be fully remote. Companies such as Exfold, H&R Block, Mass General Brigham are hiring remotely for Data Scientist. Check out the latest remote Data Scientist job openings below.
Are there any remote job openings for Data Scientist?
Yes, there are 829 remote job openings:
The Data Scientist will partner with stakeholders to translate business questions into analytical approaches and develop predictive models to support growth strategies. They will manage the end-to-end data science lifecycle, including data extraction, cleaning, feature engineering, and the delivery of actionable insights.
The Data Scientist is responsible for analyzing complex clinical and operational data to uncover patterns and develop data-driven applications. They will design, implement, and evaluate predictive models and algorithms to solve business problems and optimize performance metrics.
The Data Scientist will develop and refine machine learning and AI models while applying natural language processing techniques to unstructured data. They will also collaborate within an Agile team to build data visualizations and communicate findings to stakeholders.
The Data Scientist will translate complex enterprise data into actionable intelligence to optimize operations and support business growth. They are responsible for end-to-end data science initiatives, including problem framing, model development, and cross-functional collaboration to drive evidence-based decision-making.
The Senior Data Scientist will develop and deploy machine learning models for time-series telemetry and operational system data to support health monitoring and anomaly detection. They will collaborate with engineering teams to transition analytical solutions from research into operational environments for DoD customers.
You will own the analytical infrastructure for a clinical AI system, including drift detection, safety-weighted quality scoring, and health scoring analysis. You will also collaborate with engineering teams to evaluate RAG performance and clinical skills library accuracy.
Develop infrastructure for trader automation and high-performance systems to optimize simulation outputs. Analyze live-streaming data to build, test, and deploy production-grade machine learning models.
The data specialist is responsible for managing Customer Care EMEA data analysis and reporting to track performance across direct and indirect markets. They will also identify trends, maintain data integrity, and provide actionable insights to department leaders to support business objectives.
The Data Scientist will analyze and validate new data sources to uncover business insights and support strategic initiatives. They will collaborate with cross-functional teams to translate business requirements into actionable analytical solutions.
