Earth System Modeling Scientist

Key Role:

Serve as a subject matter expert in numerical weather prediction and earth systems modeling. Leverage advanced expertise and advanced academic research skills in the field of earth science to advise clients in decision-making process related to high-performance computing and software development. Apply leading-edge principles, theories, and concepts and contribute to the development of new principles and concepts. Engage with stakeholders in government and private industry and serve as a connection between scientists and engineers. Translate stakeholders' needs into requirements and activities that advance stakeholders' initiatives. Serve as a contract lead, ensuring work activities are aligned with requirements and strategic direction, as well as meet business needs. Participate in weather-related working groups and cross-functional teams as a subject matter expert, as needed. Work on unusually complex problems and provide highly innovative solutions. Operate with substantial latitude for unreviewed action or decision. Mentor or supervise employees in both company and technical competencies.

Basic Qualifications:

• 20+ years of experience running numerical weather models and large-scale weather-related computing projects

• Experience with the NOAA Unified Forecast System

• Experience analyzing meteorological datasets

• Knowledge of machine learning and applications of machine learning to weather systems modeling

• Ability to improve earth systems prediction using model-based approaches

• Ability to participate in client site visits and stakeholder meetings

• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

• Doctorate degree in Meteorology or Earth Sciences

Additional Qualifications:

• Experience with federal government consulting

• Experience managing federal government contracts or grant funding

• Ability to manage multiple assignments in a multi-disciplinary project team environment

• Ability to solve complex client problems and prioritize and manage work across multiple work efforts or clients independently

• Possession of excellent leadership and analytical skills

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.