Program Manager, Forecast Science – Policy

Precision Development (PxD)

. Develop a working technical understanding of PxD's forecasting partners' methods, capabilities, and limitations .

Posted 9/15/2026full-timeRemote • IndonesiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong proficiency in quantitative and computational methods, with the ability to translate complex scientific findings into accessible information for diverse audiences. Possesses expertise in Python or R, and familiarity with data pipelines and geospatial data tools to support effective decision-making in weather forecasting initiatives.

Highest-signal resume keywords

Quantitative MethodsPython ProgrammingData Pipeline ExperienceForecast Modeling EngagementExcellent Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative MethodsComputational MethodsForecast ModelingProbabilistic ForecastingEnsemble ModelingForecast Skill MetricsAI/ML Model InterpretationData AnalysisStatistical AnalysisTechnical Translation

Soft Skills

Excellent Communication SkillsOrganizational SkillsAttention to DetailCollaborative AttitudeResilience

Tools & Technologies

PythonRXarrayNetCDFGISCloud-Based WorkflowsData PipelinesGeospatial Data Tools

Industry Keywords

Climate AdaptationDigital AgricultureExperimental EconomicsForecasting ScienceSmallholder Farmers

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Develop a working technical understanding of PxD's forecasting partners' methods, capabilities, and limitations
Explain in plain language why forecast-related capabilities can or cannot currently be delivered
Synthesize and translate complex scientific findings, including forecast models, agronomic research, and MEL data
Prepare reports, presentations, and policy briefs for internal stakeholders, policymakers, practitioners, and general audiences
Support ongoing communication between technical/scientific partners, internal teams, and government stakeholders
Ensure technical constraints and possibilities are accurately reflected in program and policy conversations
Serve as a critical technical translator within PxD's weather forecasting initiative
Help ensure decisions across the initiative are grounded in an accurate understanding of forecasting science

Requirements

What you’ll need

At least 4–6 years of relevant work experience
Bachelor's or Master's degree in a relevant field such as physics, mathematics/statistics, computational science, engineering, and/or economics with a quantitative focus; candidates with non-traditional backgrounds combining strong quantitative training with technical or scientific experience are encouraged to apply
Strong foundational knowledge in quantitative and computational methods
Ability to engage critically and constructively with forecast modeling scientists
Familiarity with ensemble modeling, probabilistic forecasting, forecast skill metrics, and model uncertainties is a plus
Proficiency in Python or R required
Experience with data pipelines, cloud-based workflows, or geospatial data tools such as xarray, netCDF, or GIS is strongly preferred
Experience working with or interpreting outputs from AI/ML-based models is strongly preferred
Ability to translate technical products and probabilistic or uncertain findings into decision-relevant information for non-specialist audiences
Excellent written and oral communication skills in English
Fluency in Hindi is preferred
Strong organizational skills and exceptional attention to detail
Ability to manage multiple workstreams and projects simultaneously
Familiarity with climate adaptation, digital agriculture, and experimental economics is strongly desired
Ability to work independently
Passion for impact and alignment with PxD's mission to serve smallholder farmers
Collaborative attitude, resilience, and drive to continuously learn and innovate
Willingness to travel domestically and internationally as needed

Benefits

Comp & perks

Flexible working arrangements
Inclusive and diverse organization
Opportunity to work on real-world problems at scale
Opportunity to apply strong technical training to international development, meteorology, program delivery, and public policy
Opportunities to work with government partners and international stakeholders