WWF India's conservation initiatives are backed by evidence from field studies, remotely sensed data, and other sources. Due to the complexity of the systems WWF works with, there is a need to bring diverse data and sophisticated analyses to bear on decision making, management and policy at time scales that matter.,
1. Post name: Conservation Data Scientist
2. Job Profile: Design the architecture and lead development and implementation of data management systems and software to archive, manage, query, analyse and visualize conservation data from camera traps and other sources. Lead the operationalization of data storage and management systems (both hardware and software) for secure data storage and access. Product development: nodal person from WWF India for the development of external computer applications or technology products being developed through contracts with IT specialists or firms or collaborations.
a. Implementation: Supervise data management solution management, maintenance and wise use of data management hardware and software.
Analysis: Perform data analysis for specific projects; applying advanced statistics and spatial analysis and programming as necessary to answer science questions. Works closely with scientists to deliver this.
b. Data: Manage, maintain, and curate spatial and non-spatial databases, keep abreast with relevant data sources, and provide data needed for analysis.
Platforms: Support development of online platforms for data dissemination and processing. Point person for the development of innovative conservation technology through partnerships.
c. GIS software licensing: Manage GIS software licensing and distributes software licenses to all users in the Network. Coordinate with software vendors to obtain and renew licenses and to handle support requests. Lead or contribute to proposal and strategy development with a significant data component. Other duties as assigned
3. Qualifications, Experience and competencies required: Bachelor, Masters or PhD degree (or equivalent) in Computer Science, Mathematics, Applied Mathematics, Statistics, Engineering or other related disciplines. Three years (PhD degree),six years (Master degree) or 10 years (Bachelor degree) of progressively responsible experience in design and development of data integration and analysis platforms, data analysis or data visualization, Big Data, AI, social network data, or geospatial data/satellite imagery required;
a. Fluency in R, MatLab and python scripting, coding, and web design for data access, analysis and presentation required; Familiarity with one or more data science or decision science domains including data mining, machine learning, predictive analysis, event detection, or modeling of complex systems desirable; Experience with open source platforms desirable Knowledge of cloud-based technologies and machine learning approaches;
b. Experience analyzing data from social and ecological monitoring systems, monitoring and evaluation work, or other survey work and writing scientific articles desirable.
Demonstrated experience presenting work to both technical and non-technical audiences and leading a data science team. Teaching and advisory skills building capacity within diverse range of teams; Experience working in the fields of global development or conservation sector desirable; Professional and intellectual interest in the conservation and sustainability sectors