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 • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong proficiency in quantitative and computational methods, with expertise in Python or R for data analysis and modeling. Capable of translating complex scientific findings into accessible insights for diverse audiences while managing multiple projects effectively.

Highest-signal resume keywords

Quantitative And Computational MethodsPython Or R ProficiencyForecast Modeling EngagementData Pipeline ExperienceExcellent Written And Oral Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative MethodsComputational MethodsForecast ModelingEnsemble ModelingProbabilistic ForecastingForecast Skill MetricsModel UncertaintiesData AnalysisAI/ML Model InterpretationGeospatial Data Tools

Soft Skills

Organizational SkillsAttention To DetailCollaborative AttitudeResilienceContinuous Learning

Tools & Technologies

PythonRXarrayNetCDFGISCloud-Based Workflows

Industry Keywords

Climate AdaptationDigital AgricultureExperimental EconomicsForecastingTechnical Communication

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 a forecasting capability 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
Translate technical realities of forecasting work into actionable understanding across the initiative

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; non-traditional backgrounds combining strong quantitative training with technical or scientific experience are encouraged
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 for non-specialist audiences
Excellent written and oral communication skills in English
Fluency in Hindi is preferred; proficiency in other languages is a plus
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
Collaborative attitude, resilience, and drive to continuously learn and innovate
Willingness to travel domestically and internationally as needed

Benefits

Comp & perks

Remote work preferred / flexible working arrangements
Domestic and international travel as needed
Inclusive and diverse organization
Flexible working to support productivity and well-being