Jupiter Intelligence

Jupiter is the trusted leader in climate risk analytics, turning sophisticated climate science into actionable data.

Flood Modeler

Data ScientistData ScientistContractRemoteTeam 51-200Since 2017H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

34 days ago

Salary

$50 - $55 / year

No structured requirement data.

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

Jupiter seeks a highly skilled Flood Modeler (contract), with a specialized focus on development and execution of shallow water flood models to support our high-resolution flood modeling pipelines. The purpose of this role is to develop and deploy complex modeling frameworks to simulate and predict flood risk on commercial cloud platforms. This role will involve:

  • Deploying algorithms for numerical simulation/prediction of flood risk resulting from rainfall, river flow, and coastal storm surge.
  • Troubleshooting complex algorithms.
  • Applying code iteratively to test new settings.
  • Contributing to process workflows.
  • Assuring quality of output.

This role is a critical piece of the team delivering data that forms the backbone of Jupiter products.

Qualifications

  • Master’s degree in Civil/Environmental Engineering, Coastal Engineering, Water Resources, Fluid Mechanics, Hydrology or related field.
  • Bachelor's degree plus 3-5 years experience also considered.

Requirements

  • 2-dimensional flood model design and deployment (e.g. HEC-RAS, LISFLOOD, TUFLOW, Telemac, or similar).
  • Model parameter optimization.
  • Model validation and verification.
  • Geospatial data processing (QGIS, ArcGIS).
  • Strong knowledge of Python and experience with libraries such as NumPy, GDAL, Rasterio, Xarray, and Pandas.
  • Familiarity with software engineering best practices and cloud computing.
  • Fortran experience a plus.
  • Experience modeling channel, coastal and floodplain inundation hydrodynamics.
  • Experience scaling computational methods for large-scale processing (Docker containers, Kubernetes, AWS EC2, Dask, multiprocessing).

Benefits

  • $50 - $55 an hour.

Job Requirements

  • Master’s degree in Civil/Environmental Engineering, Coastal Engineering, Water Resources, Fluid Mechanics, Hydrology or related field.
  • Bachelor's degree plus 3-5 years experience also considered.
  • 2-dimensional flood model design and deployment (e.g. HEC-RAS, LISFLOOD, TUFLOW, Telemac, or similar).
  • Model parameter optimization.
  • Model validation and verification.
  • Geospatial data processing (QGIS, ArcGIS).
  • Strong knowledge of Python and experience with libraries such as NumPy, GDAL, Rasterio, Xarray, and Pandas.
  • Familiarity with software engineering best practices and cloud computing.
  • Fortran experience a plus.
  • Experience modeling channel, coastal and floodplain inundation hydrodynamics.
  • Experience scaling computational methods for large-scale processing (Docker containers, Kubernetes, AWS EC2, Dask, multiprocessing).

Benefits

  • $50 - $55 an hour.

Related Categories

Related Job Pages

More Data Scientist Jobs

Full TimeRemoteTeam 5,001-10,000H1B Sponsor

Business Development Associate supporting proposal development and analytics strategies

Pennsylvania
$84K - $117K / year

Senior Data Scientist

Analytica

Data-driven consulting and technology services

Data Scientist34 days ago
Full TimeRemoteTeam 51-200H1B No Sponsor

Senior Data Scientist developing algorithms for Medicaid billing oversight

PythonSQLTableau
United States

Data Scientist – Senior

EQT Corporation

Our mission is to deliver cheaper, more reliable, cleaner energy to the world.

Data Scientist34 days ago
Full TimeRemoteTeam 501-1,000Since 1888H1B No Sponsor

Data Scientist transforming business data into actionable insights using advanced analytics.

PythonSQL
California + 8 moreAll locations: California, Connecticut, Illinois, Louisiana, New Jersey, New York, Massachusetts, Michigan, Tennessee

Senior AI Data Scientist

Chaos Labs

Decentralized blockchain applications introduce a myriad of technical challenges, security vulnerabilities and attack vectors. With DeFi (decentralized finance) protocols now securing hundreds of billions in value in production, the stakes have never been higher. With new technological primitives and bustling innovation, new security paradigms are required. dApps leverage open source modules and often consume other protocols in order to create new applications. This introduces a dependency heavy software architecture which makes it an ideal candidate for runtime verification. Chaos Labs is a cloud platform which enables teams to create high-fidelity agent and scenario-based simulations on mainnet forks, offering a real-world testing environment. By providing a rich library of customizable agents and scenarios, teams can rapidly speed up development and reduce their go-to-market time, helping them stay competitive without compromising on the security of their protocol. Additionally, Chaos Labs focuses on developer tooling and cloud infrastructure, allowing teams to move fast on stable infrastructure. The platform is currently live for protocols on the Ethereum network and later expanding to additional blockchains such as Terra, NEAR and Polygon.

Data Scientist34 days ago
Full TimeRemoteTeam 25Since 2021

Lead the design and evolution of agentic systems for Chaos AI, optimizing LLMs in financial workflows, and mentoring engineers and data scientists.

AIEmbeddingsLlmsMlPythonRag PipelinesVector Databases
Indiana
$130K - $200K / year