Applied Spatial Data Scientist, Global Science

2 weeks ago

Port Blair, Andaman and Nicobar, India The Nature Conservancy Full time

OFFICE LOCATION:

The work location for this position is flexible within locations where The Nature Conservancy has an established office. The headquarters of TNC is located in Arlington, Virginia.

PDN
LI-REMOTE

WHO WE ARE:

The Nature Conservancy's mission is to tackle the twin crises of climate and biodiversity.

As a science-based organization, we create innovative, on-the-ground solutions to our world's toughest challenges in pursuit of a world in which people and nature thrive.

We're rooted in our Mission and guided by our Values, which includes a Commitment to Diversity and Respect for People, Communities, and Cultures.

Whether it's career development, flexible schedules, or a rewarding mission, there's lots of reasons to love life #insideTNC. Want a better insight to TNC? Check out our TNC Talent playlist on YouTube or on Glassdoor.

WHAT WE CAN ACHIEVE TOGETHER:

WE'RE LOOKING FOR YOU:


The Global Science Applied Spatial Data Scientist will collaborate with teams from across the Conservancy to collect, process, and analyze geospatial data; build models; interpret and synthesize results; lead and support the timely development of peer-reviewed publications; and provide technical training and capacity-building to support regional science capacity.

They will work on a range of projects and topics that address pressing and evolving needs facing the Conservancy's regional and global efforts.

Projects may include contributing to connectivity modelling for conservation planning and monitoring; landscape /seascape planning to promote cost-effective conservation and sustainable development; measuring species and ecosystem responses to area-based interventions at landscape scales; and evaluating trade-offs to determine the optimal benefits of land protection, regenerative agriculture, natural climate solutions, among other conservation interventions.

The Applied Spatial Data Scientist's Responsibilities & Scope include:

  • Work collaboratively to develop tractable geospatial analytical solutions to conservation problems.
  • Acquisition, processing, modelling, quality control, integration, and management of spatial and tabular data, coordinating data delivery to and from collaborators.
  • Conduct independent advanced spatial and statistical analyses of conservation data, interpret results, and synthesize findings.
  • Provide technical training, capacitybuilding, and research expertise to regional and country teams, to foster scientific careers and build scientific expertise locally.
  • Foster internal and external collaborations with TNC business units, universities, and project partners.
  • Maintain scientific credibility through applied research, peer reviewed publications, and collaboration with diverse research partners/users.
  • Report and communicate on project impact to TNC and project partners.
  • Being selfmotivated in ongoing learning so that skills remain current.
  • Work in a complex matrix organization environment.
  • Being willing to travel locally, regionally, and internationally as required to meet project and strategy needs.

WHAT YOU'LL BRING:

  • A minimum of a master's degree in sciencerelated field and at least 6 years of experience or equivalent combination of education and experience.
  • Experience using codedriven analytical tools (e.g., R, Python, Julia, etc.) to manipulate and analyze both spatial and tabular data.
  • Broad expertise in scientific computing, and demonstrated ability to leverage cuttingedge tools (e.g., highperformance and cloud computing; parallelization and distributed computing; code optimization) when needed to solve problems.
  • Experience using a variety of GIS, both proprietary (e.g., ArcGIS Pro, Google Earth Engine) and open source (e.g., QGIS, Python, R, Julia, PostGIS, GRASS) to maintain data repositories and complete geospatial analyses.
  • Experience directing a major program of strategic importance and working with a multidisciplinary team.
  • Excellent organizational skills and communication skills, written, spoken and graphical.
  • Experience fundraising and/or writing grants and research proposals.
  • Fluency in English, written and spoken.

DESIRED QUALIFICATIONS

  • PhD in natural resources, environmental sciences, landscape ecology, or other spatial sciencerelated field and at least 1 year of experience in a professional, scientific setting or equivalent combination of education and experience.
  • Demonstrated use and promotion of best practices for open, reproducible research (e.g., use of Git and GitHub to store and share analyses and tools; use of online repositories to archive open data; use of executable documents, such as R Markdown or Jupyter Notebooks to share and explain results; publication of opensource software packages).
  • Working knowledge of analysis of remotely sensed data and image processing using software packages, such as ERDAS or ENVI and Google Earth Engine a plus.
  • At least 3 years of experience pro

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