Remote Data Scientist Salary – updated June 2026
The average salary for remote data scientist is $120,000 per year. This is based on data from 706 job openings.
Where do you get the data from?
Data is based on 706 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 706 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 Onward Search, Paystone, CapsLock 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 706 remote job openings:
Build and productionize machine learning models for segmentation, churn, LTV, and personalized recommendations. Collaborate with Product, Engineering, and BI teams to turn business goals into scalable ML systems and monitor their performance.
Develop and deploy machine learning models to score landing page visitors and optimize lead generation through real-time scoring pipelines. Collaborate with cross-functional teams to transform raw behavioral data into actionable insights and statistically sound business decisions.
Develop and maintain statistical and machine learning models to support business forecasting and data-driven decision-making. Collaborate with cross-functional stakeholders to translate business questions into actionable analytical insights and production-ready solutions.
Build and productionize machine learning models for segmentation, churn, LTV, and recommendations to drive customer growth. Collaborate with Product, Engineering, and BI teams to turn business goals into scalable ML systems and monitor their performance.
Design, build, and optimize machine learning models for credit origination, behavioral scoring, and limit management. Collaborate with cross-functional teams to implement scalable infrastructure for model deployment and monitoring.
Design, build, and optimize machine learning models for credit risk, including origination and behavioral scoring. Collaborate with cross-functional teams to implement infrastructure for model deployment, monitoring, and retraining at scale.
Train and iterate on custom ML models for customer feedback tasks including extraction, retrieval, and sentiment analysis. Build LLM-powered features and evaluation frameworks while collaborating with engineering to integrate models into production pipelines.
Develop best practices for instrumentation and experimentation to improve product creation and development. Build and prototype analysis pipelines to provide scalable insights and collaborate with cross-functional partners to influence product strategy.
The Data Scientist supports the Responsible AI program by embedding with AI Factory teams to ensure GenAI applications are safe, transparent, and measurable. Key duties include executing evaluations for hallucination and fairness, developing benchmark datasets, and prototyping emerging RAI techniques.
