Senior Data Scientist

4 weeks ago

Sioux Falls, South Dakota, United States ERT Full time
Job Summary

ERT seeks an innovative Senior Data Scientist to lead advanced data analytics initiatives for the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center.

Key Responsibilities
  • Design, develop, and implement advanced statistical models, machine learning algorithms, and predictive analytics solutions using large geospatial and satellite datasets.
  • Use cloud-based platforms to optimize data processing, analysis, and delivery of insights.
  • Conduct exploratory data analysis to extract trends and patterns from multi-temporal geospatial datasets and environmental data.
  • Apply state-of-the-art data science methods to extract insights from remote sensing data for land cover monitoring, environmental change detection, and disaster response.
  • Develop algorithms for automated feature extraction and classification from satellite imagery and spatial datasets.
  • Create reproducible data pipelines for large-scale processing of Earth observation datasets.
  • Collaborate with scientists, engineers, and technical staff to understand research needs and provide data science expertise for project goals.
  • Present findings, reports, and recommendations to stakeholders through dashboards, data visualizations, and presentations.
Requirements
  • 8+ years of experience in data science, machine learning, remote sensing, or geospatial analytics.
  • Proven track record of working with large-scale geospatial and environmental datasets.
  • Experience with satellite data products and geospatial tools.
  • Proficiency in programming languages such as Python, R, or JavaScript, and familiarity with cloud computing platforms.
  • Strong background in statistical analysis, machine learning, and data modeling techniques.
  • Hands-on experience with data visualization tools.
  • Excellent problem-solving and critical-thinking skills with the ability to translate scientific needs into technical solutions.
  • Strong written and verbal communication skills, with the ability to present complex data concepts to non-technical stakeholders.
Preferred Qualifications
  • Experience working with federal agencies or research organizations.
  • Familiarity with environmental science, climate data, or ecosystem modeling.
  • Knowledge of deep learning frameworks for geospatial applications.
  • Experience with DevOps practices and containerization tools.
Benefits
  • Competitive compensation plan.
  • Discretionary variable incentive bonuses based on factors such as individual performance, business unit performance, and/or the company's performance.
  • Publication and Conference Presentation Awards with bonuses.
  • ERT is a VEVRAA Federal Contractor and Equal Opportunity/Affirmative Action employer.

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