Data Scientist, Wellspring Climate Initiative
- Employer
- Wellspring Philanthropic Fund
- Location
- New York, United States
- Salary
- $80,000.00 - $100,000.00
- Closing date
- Dec 18, 2020
View more
- Position Type
- Programs, Other Programs
- Fields
- Environment, Philanthropic Advisors, Research
- Employment Type
- Full Time
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About the Organization Wellspring Climate
Initiative (WCI) seeks to avoid the worst impacts of climate change
by dramatically reducing global greenhouse gas emissions and
accelerating the transition to a clean energy future. The Climate
Initiative’s investments are aimed at decarbonizing the world
economy as quickly as possible and are focused on the strategies
and venues where philanthropy can have the highest impact.
Wellspring Climate Initiative is active in multiple geographies
based on opportunities for cost‐effective mitigation. WCI believes
that solving climate change requires the adoption of ambitious,
evidence-based policy solutions that transform markets, advance
clean technology, and lead to large‐scale change. WCI is dedicated
to building the political will and powerful coalitions needed to
achieve these bold policy solutions. WCI was recently launched and
is actively building its team. WCI is based in Irvine, California.
Wellspring Climate Initiative is part of the Wellspring
Philanthropies and an initiative of Wellspring Philanthropic Fund
(WPF), which opened its doors in 2001 with a mission to improve the
realization of human rights and social and economic justice for all
people. The organization is supported by donors who share a common
belief in and respect for the inherent worth and dignity of every
person. Further information can be found here: https://wpfund.org/.
The Role The Data Scientist will lead the
delivery of salient and credible data analyses and products to
inform evidence-based strategies for climate change mitigation.
They will be responsible for the synthesis and analysis of both
internal and external datasets, under the supervision of the
Director, Measurement Evaluation and Learning. They will develop
and maintain reproducible data workflows and data products
(including visualizations, reports, and dashboards). They will work
closely with colleagues across WCI, and with external partners
including data providers and grantees. They will be based in
Irvine, CA. Key Responsibilities
- Wrangling and synthesis of large external datasets (e.g., climate scenarios) into clear, compelling data products to support decision-making needs. Products may include reports, presentations, or interactive dashboards.
- Integration and custom statistical analysis of diverse datasets relevant to climate change mitigation efforts (e.g., country-level emissions trajectories; global climate scenarios).
- Reproducible & appropriate analysis of internal financial and programmatic datasets to support decision-making needs.
- Develop and maintain data workflows (via GitHub) for both external and internal datasets.
- Minimum of three-five years working in climate change data analytics or related field.
- Advanced degree in relevant field, including the statistical analysis of quantitative data.
- Demonstrated experience and proficiency in RStudio (including RShiny and RMarkdown), and GitHub is required. Knowledge of Python preferred.
- Familiarity with running custom scenarios in integrated assessment models (e.g., GCAM) preferred.
- Demonstrated experience in the handling and management of large and/or sensitive datasets; and the development of data visualization and synthesis products.
- Ability to multi-task, meet deadlines and work both independently and collaboratively.
- Demonstrated ability to establish and maintain close, collegial, and effective working relationships with colleagues and external collaborators.
- Willingness to engage in in-depth discussions about data/methodological validity, and to co-create analytical outputs.
- A resume
- A thoughtful cover letter, including salary requirements (specifying salary amount or range) and how you became aware of this opportunity
- Sample of R code, relevant to the position description
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