Data is based on 778 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 |
| 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 |
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 FocusKPI Inc., IFF, kreate are hiring remotely for Data Scientist. Check out the latest remote Data Scientist job openings below.
Yes, there are 778 remote job openings:
Build and implement artificial intelligence and machine learning models to solve complex business problems and drive strategic decisions. Partner with cross-functional teams to maintain data science solutions and communicate modeling results to stakeholders.
Develop and maintain forecasting, predictive analytics, statistical, and machine learning solutions, dashboards, and analytical tools to improve planning performance and business outcomes. Analyze complex datasets and business drivers, improve forecast accuracy, and partner with cross-functional stakeholders to deliver analytical projects from discovery through deployment and adoption.
The Data Scientist will analyze plant, finance, and retail data to create actionable insights, reports, and automated tools. They will collaborate with cross-functional teams to define metrics, investigate data quality issues, and present findings to leadership.
You will partner with cross-functional teams to turn ambiguous business questions into rigorous analyses, models, and experiments. You will own the end-to-end process from framing questions to landing actionable recommendations with leadership.
Collaborate with cross-functional teams to define metrics, design experiments, and build analytical frameworks that inform strategic business decisions. Develop tools and datasets while owning complex data projects end-to-end to drive product and business impact.
You will own the design, development, and maintenance of the data platform, including data warehouses and real-time pipelines. You will also collaborate with cross-functional teams to build scalable frameworks that support AI/ML data products and business decision-making.
The Data Scientist will build and deploy machine learning models into production to power real-time product features and personalization. They will also establish low-latency infrastructure on GCP and partner with engineering to ensure models are scalable and measurable.
Develops and deploys machine learning and predictive analytics solutions to drive business outcomes and member value. Partners with cross-functional teams to manage complex data, build data products, and communicate actionable insights to stakeholders.
Design, build, and maintain scalable data pipelines and analytical workflows to transform complex datasets into actionable insights. Collaborate with cross-functional teams to automate data ingestion, enforce quality controls, and deliver decision-support artifacts.
You will design and implement technical data solutions while partnering with cross-functional teams to translate business requirements into actionable insights. Additionally, you will manage project priorities and communicate complex findings to both technical and non-technical stakeholders.
