Data Science Manager manages teams tasked with identifying trends, patterns, and anomalies found in big data sets and used to develop insights by performing extensive data analysis. Oversees the interpretation of results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Being a Data Science Manager manages the design and implementation of big data solutions for the organization. Uses extensive knowledge and research into big data tools to guide data scientists' adoption and use of new and existing tools. Additionally, Data Science Manager typically requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to senior management. The Data Science Manager manages subordinate staff in the day-to-day performance of their jobs. True first level manager. Ensures that project/department milestones/goals are met and adhering to approved budgets. Has full authority for personnel actions. To be a Data Science Manager typically requires 5 years experience in the related area as an individual contributor. 1 - 3 years supervisory experience may be required. Extensive knowledge of the function and department processes. (Copyright 2024 Salary.com)
Wildlife Works is a community-centered conservation company that implements market-based initiatives to protect the planet’s threatened wilderness and endangered wildlife. The company was founded on the premise that if we want wildlife in our world, it must work for local communities who share their environment. Wildlife Works’ conservation projects drive direct financing to forest communities to fund their own economic development, while preventing millions of tonnes of carbon dioxide emissions from entering the atmosphere annually.
The Manager - Geospatial Science will oversee the geographic science, analysis, and reporting tasks as they relate to Greenhouse Gas (GHG) accounting, supporting the delivery of best-in-class carbon credits across all Wildlife Works’ projects and partnerships. The role requires a candidate with extensive experience in remote sensing, adept in land use/land cover change analysis, cartography, and the remote sensing of biomass change. The ideal candidate will have firsthand experience with large-scale emissions estimation, disturbance monitoring, and risk mapping, and a familiarity with REDD project and program standards, particularly in forest and biodiversity conservation. Both academic achievements and practical experience with tangible outcomes are vital for this position.
Reporting directly to the Chief Technology Officer in Burlington, Vermont, the main responsibility of the candidate is to furnish scientifically sound deforestation and degradation estimates to aid Wildlife Works' baseline setting and forest monitoring efforts. The role also involves leading a growing team of geospatial analysts across Africa, Southeast Asia, and Latin America and requires efficient collaboration with national governments and their donors to meet the project's objectives. The position is based in Wildlife Works’ Burlington, Vermont office and preference will be given to candidates located in, or willing to relocate to, Burlington. However, candidates may optionally be based in North Carolina or California. Wildlife Works operates on a market-based solution to climate change, emphasizing community partnerships; thus, the suitable candidate should align with these principles.
Responsibilities:
· Lead remote sensing projects focused on GHG accounting, land cover change analysis, and carbon stock & change evaluation.
· Manage an international geospatial team for geospatial project execution, including remote sensing and GIS data acquisition, processing, and reporting.
· Innovate in remote sensing techniques to improve GHG accounting, in collaboration with technology partners.
· Stay updated on remote sensing technology to support accurate baseline setting and monitoring, reporting and verification.
· Communicate GHG accounting outcomes to both internal and external stakeholders.
· Contribute cartographic, carbon accounting and risk mapping inputs for key documentation throughout project development lifecycles.
· Foster relationships with government and academic partners to promote science-based emission reduction estimates.