Research / Senior Research Manager, Weather Data Systems
New
P
Precision Development (PxD)Weather data systems
India (remote)Full-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Strong writing and oral communication skills in English
- Experience
- The specific level will be determined based on the candidate's years of experience, demonstrated seniority, and scope of past responsibilities.
- Required Skills
- PythonSQLData management
Requirements
- Degree in a technical, quantitative, or data-related field, such as computer science, data science, engineering, or statistics; economics or agricultural economics backgrounds with strong technical skills are also considered.
- Experience building or managing a data pipeline, ideally involving real-time or automated data processing.
- Working knowledge of tools and languages needed to build and maintain a pipeline, such as Python or SQL.
- Ability to work across technical and non-technical teams and translate between forecast science, engineering, and program needs.
- Experience designing systems intended to be replicated or scaled, rather than built for one-time use.
- Strong documentation habits and ability to make a technical system legible to people who did not build it.
- Strong writing and oral communication skills in English.
Responsibilities
- Work with forecast science, technology, and dissemination teams to design and oversee a pipeline that converts real-time scientific forecast data into location-specific farmer messages automatically.
- Design the pipeline to accommodate different dissemination vendors and channels, including voice, SMS, WhatsApp, apps, and LLM-powered advisory systems.
- Minimize latency in data transformations and other pipeline steps to support fast, error-free delivery of time-sensitive forecast information.
- Own the technical and process requirements for replicating the pipeline across geographies and use cases.
- Translate scientific forecast outputs and technical system constraints between research, program, and technical teams.
- Oversee data management, quality checks, and pipeline testing as the system scales.
- Document the pipeline's architecture, decision logic, and rationale so others can maintain, audit, and extend it.
- Coordinate with dissemination teams to ensure automated messages meet standards developed by the field research team.
- Guide teams on data quality and technical rigor as the pipeline scales to new use cases or geographies.
- Provide guidance to Associate and Manager level staff supporting the pipeline, and contribute to funding proposals, reports, and institutional knowledge management.
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