The World Wildlife Fund (WWF), seeks a Conservation Data Scientist to join its Global Science team. This career opportunity is ideal for someone with 6 to 8 years professional experience or 3 to 5 years with an advanced degree in data science, computer science, environmental science (with a quantitative focus) or related field.
The key role of the data scientist will be to help devise new methods for leveraging the data WWF has, and to develop methodologies for collecting and managing new data to help measure and achieve the organization's conservation goals.
About the Role
The Conservation Data Scientist will work with the Global Science team and the WWF network to develop new ways to acquire and utilize environmental and socio-economic data. Understanding of conservation issues on global and local scales is essential, as is experience working with multiple organizations to harmonize data and data management approaches. Knowledge of carbon accounting methods, environmental condition measurement, and large-scale socio-economic data will be useful. The key role of the data scientist is to help devise new methods for leveraging the data we have, and to develop methodologies for collecting and managing new data to help measure and achieve our conservation goals.
The Conservation data Scientist will:
- Co-develop data collection and utilization methodologies with WWF scientists and program managers.
- Coordinate across multiple data collecting organizations, to harmonize approaches and data.
- Support the development of data management protocols and policies.
- Co-develop and implement impact monitoring pipelines.
- Identify opportunities for application of new data management and analysis tools for the conservation context.
- With support from a data analyst, perform analyses for select projects; applying advanced statistical and spatial analysis and programming as necessary to assess impacts and identify opportunities.
- Other duties as assigned.
Skills and Abilities
- 6 to 8 years professional experience or 3 to 5 years with an advanced degree in data science, computer science, environmental science (with a quantitative focus) or related field
- Proven data science or computer science expertise
- Proven expertise in a data science programming language such as Python or R
- Experience with cloud-based technologies and machine learning approaches
- Demonstrated experience with conservation, biodiversity or ecology projects
- Strong project management skills with the ability to effectively prioritize and produce high quality work under time constraints.
- Excellent interpersonal skills requiring knowing when to use courtesy, tact and/or diplomacy to effectively communicate with all constituents.
- Ability to demonstrate integrity in deliverables, behavior, and demeanor
- Proven ability to work independently as well as collaboratively in a matrixed team environment
- Ability to show respect for the organization, the work, the team, and self
- Have the courage to make the hard decisions which will benefit the organization, team and work
- Committed to building and strengthening a culture of inclusion within and across teams.
- Identifies and aligns with the core values of the WWF organization: Courage, Integrity, Respect & Collaboration
Submit cover letter and resume through WWF's Careers Page, Requisition #21069
Due to the high volume of applications we are not able to respond to inquiries via phone
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