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Atmospheric Scientist - Numerical modeling - Washington, District of Columbia, United States

Tomorrow.io is launching a satellite constellation of space-borne observing platforms to offer global observational coverage and to address the grand forecasting challenges. The Numerical Weather Prediction (NWP) team has the responsibility to develop the appropriate assimilation systems and provide the most accurate weather forecast at a global scale.

The NWP team is looking for an Atmospheric Scientist with experience in numerical modeling and data assimilation to extract the maximum out of our proprietary observations. The main role of the position is to develop a state-of-the-science global forecasting system capable of assimilating Tomorrow.io’s observations (microwave radar and sounders) on top of the publicly available ones to provide NWP forecasts and predictions that deliver maximum value for our clients.

As an Atmospheric Scientist, you will contribute to the scientific and engineering advancement of the weather and forecasting capabilities, develop new forecasting capabilities for all the subsystems of the Earth, and apply your subject matter expertise as needed in support of our clients.

Please note that while this position is remote, candidates for this role should be located in the Washington, D.C. or Golden, CO area. 

What you'll bring:

  • Ph.D. in numerical modeling in geosciences, e.g., meteorology, oceanography, or related fields
  • At least three years of post-graduate experience in developing data assimilation systems
  • Knowledge of remote sensing methods such as radar, infrared and passive microwave radiometry, and forward modeling and retrieval techniques
  • Experience with data assimilation (e.g., JEDI, GSI, DART) or model validation and verification (MET, xskillscore)
  • Experience preparing instruments for operational use, such as with Observation System Simulation Experiments (OSSEs) or observation system experiments (OSEs)
  • Bonus: Experience in applying machine learning applications to forward and inverse modeling.

So if you're looking to join a team that is at the forefront of innovation to help build the biggest weather platform in the world, this is the place for you!

If your experience is close but doesn’t fulfill all requirements, please apply. Tomorrow.io is on a mission to build a special company. To achieve our goal, we are focused on hiring people with different backgrounds, perspectives, and experiences.


Tomorrow.io is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Tomorrow.io participates in the E-Verify program in all US states, as required by law.

At tomorrow.io we have established a workplace culture that values fairness and equal opportunities and we believe it is crucial for fostering a positive and productive environment. Regularly reviewing and adjusting pay practices to align with legitimate drivers of pay, such as job level, geographic location, and performance, demonstrates a commitment to maintaining equity within the organization.This commitment to ongoing assessment and improvement is key to creating a workplace that is not only diverse and inclusive but also fair and just. Anticipated salary range for this role is $120k-$140k subject to local market and candidates skills and experience. Comprehensive health benefits, unlimited paid time off and other benefits included. Relocation assistance may be offered/available for certain roles.

Tomorrow.io is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at jobs@tomorrow.io


About tomorrow.io:

Tomorrow.io is helping Countries, Businesses and Individuals better manage their Climate Security Challenges. Fully customizable to any industry impacted by the weather, customers around the world including Uber, Delta, Ford, National Grid and more use Tomorrow.io to dramatically improve operational efficiency. Tomorrow.io was built from the ground up to help teams predict the business impact of weather, streamline team communication and action plans, improve productivity, and optimize profit margins.

Space: In case you have not heard, we are also going to space with our Operation Tomorrow Space initiative. We are building the first-of-its-kind proprietary satellites equipped with radar, and launching them into space to improve weather forecasting technology for everyone on Earth. 

How we roll: We work in an “one office” environment. We believe that magic happens when people work together. Together also includes Zoom meetings, flexible hours and unlimited vacation days. Your success is achieved by your impact and deliveries and not by the hours you put in. We believe in transparency and directness, putting work before ego and empathy. We grow fast and move faster but we always see people first. Each person has their own career growth path for we believe that the only way for the company to grow is if you grow.

 

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Job Profile

Regions

North America

Countries

United States

Benefits/Perks

Comprehensive health benefits Relocation assistance may be offered Unlimited Paid Time Off

Skills

Data assimilation Forward modeling Machine learning applications Numerical modeling Remote sensing methods

Tasks
  • Apply subject matter expertise
  • Assimilate observations for NWP forecasts
  • Contribute to scientific and engineering advancement
  • Develop global forecasting system
  • Develop new forecasting capabilities
Experience

3 years

Education

Ph.D. in numerical modeling in geosciences

Restrictions

Candidates should be located in Washington, D.C. or Golden, CO area

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9