Data is based on 834 job openings.
The salary range for data scientist is anywhere between $70,000 to $200,000 per year.
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 |
| Junior 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 |
The salary range for entry-level data scientist is between $70,000 and $95,000 per year.
The salary range for senior-level data scientist is between $130,000 and $160,000 per year.
Yes, Data Scientist positions can be fully remote. Companies such as CodeRoad, Zillow, Kantiv (formerly Joist AI) are hiring remotely for Data Scientist. Check out the latest remote Data Scientist job openings below.
Yes, there are 834 remote job openings:
Develop and deploy production-grade machine learning models and NLP techniques to extract insights from complex supply chain data. Collaborate with engineering teams to build scalable data pipelines and translate analytical findings into actionable business strategies.
Design and implement causal analyses and statistical models to optimize the customer journey from home shopping to loan funding. Partner with product and engineering teams to define measurement frameworks and translate data findings into actionable business recommendations.
You will develop and integrate AI-powered applications, including LLMs and RAG pipelines, to solve real-world problems for the AEC industry. Additionally, you will collaborate with engineering teams to optimize AI performance, monitor system reliability, and translate complex data into actionable insights.
The Data Scientist will support federal customers by developing advanced analytics, data science pipelines, and interactive data visualizations. Responsibilities include applying machine learning models, conducting big data analysis, and providing descriptive and predictive analytical solutions.
The Data Scientist will design, deploy, and operate the central data lake and ingestion infrastructure for the READINESS project. They will also develop AI agents and retrieval services to enable researchers to query experimental data effectively.
The role involves designing, developing, and deploying machine learning models while collaborating with stakeholders to integrate AI-driven insights into business processes. You will manage the full analytics lifecycle, including data acquisition, feature engineering, model monitoring, and the implementation of Generative AI solutions.
You will partner with product and operations teams to generate insights and build machine learning models that improve user outcomes and business efficiency. This involves taking ownership of the analytics process from project scoping and design to communicating actionable findings to stakeholders.
Collaborate with cross-functional teams to define metrics, design experiments, and build analytical frameworks to inform strategic decisions. Develop tools and datasets while owning complex data projects end-to-end to drive product and business impact.
The Data Scientist will collect, clean, and analyze structured and unstructured data to solve business problems. They will also assist in building machine learning models and creating data visualizations to support product development.
The Data Scientist will design, build, and operationalize intelligent systems, including ML and AI-driven product capabilities. They will partner with cross-functional teams to establish machine learning standards and deliver measurable business impact through data-driven insights.
