Meteorologist

Position Description
ERT is seeking a Meteorologist to support the Early Warning Systems Project at NOAA's Climate Prediction Center (CPC) at the National Centers for Environmental Prediction (NCEP). The position focuses on developing tools to improve sub-seasonal and seasonal forecasts of extreme climate events and works with core partners to develop and implement early warning systems in the developing world.

Duties include:

• Apply modern tools for the monitoring of the evolution of the state of the climate.
• Use complex scientific methods such as model calibration, bias correction, Artificial Intelligence and Machine Learning tools to post process NCEP global ensemble forecasts (GEFS), the North American Multi-Model Ensemble (NMME), and model outputs from other global forecasting centers to improve forecasts of precipitation and temperature at week2, week3, week4, and monthly and seasonal time scales.
• Prepare and discuss forecasts on the subseasonal to seasonal (S2S) time scale.
• Apply Geographic Information System (GIS) tools to map forecasts of extreme events, e.g., hazard outlooks (drought, flood, extreme heat, high winds) and work with stakeholders to tailor forecasts to co-develop impact forecasts on agriculture, water resource management, and health.
• Apply statistical methods to verify the forecasts.
• Apply multivariate and spectral analysis to observations and models to understand sources of predictability on the sub-seasonal time scale and the prediction of extreme events.
• Use this understanding to advance predictions on the S2S time scale.
• Contribute to the development and delivery of training materials on S2S forecasting for meteorologists and stakeholders in the developing world.
• Write technical and scientific reports relevant to the Early Warning System Project.

Required Skills

• At least 5 years of experience working on S2S climate diagnostics and or forecasts. Expert knowledge of the global climate system including the major modes of climate variability
• Excellent oral and written communication skills
• Expertise in Python coding and advanced knowledge of statistical libraries applied to S2S forecasting.
• Experience in Matlab and the use of GIS applications desired
• Must be a US Citizen or Permanent Resident and be able to pass a background investigation to obtain a security badge to enter the applicable government facility.

Education
MS in relevant field; PhD preferred

Location
This position supports work at NOAA's College Park, MD facility with some telework permitted. 40% in-office presence is required.

Compensation
The salary range for this role is $46,000 - 221,000/year. This range is a good faith estimate based on similar roles across the organization. ERT considers several factors when extending an offer of employment, including the location, scope, and associated responsibilities of the specific position, as well as a candidate's work experience, education/training, and key skills.

Benefits
All full-time employees are eligible to participate in our flexible benefits package, which includes:

• Medical, Rx, Dental, and Vision Insurance
• 401(k) retirement plan with company-matching
• 11 Paid Federal Government Holidays
• Paid Time Off (PTO)
• Basic Life & Supplemental Life
• Health Savings Account, Flexible Spending and Dependent Care Flexible Spending Accounts
• Short-Term & Long-Term Disability
• Employee assistance program (EAP)
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Professional Membership Reimbursement
• Employee Referral Program
• 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 Employer - All qualified applicants will be considered for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status.