Conservancy Data Specialist

CHESAPEAKE CONSERVANCY INC•Annapolis, MD

1d•$70,000 - $80,000•Hybrid

About The Position

Chesapeake Conservancy is seeking a Conservation Data Specialist with experience leveraging machine learning (ML), Artificial Intelligence (AI) and large and complex data sets in the environmental world. The Conservation Data Specialist will be responsible for assisting with the development and management of a variety of projects both inside and outside the Chesapeake Bay watershed that leverage AI, big data, and cloud computing to improve environmental decision making. The successful candidate will have a unique opportunity to develop innovative data products and tools while collaborating with other leading organizations, and work with impact partners to deliver on-the-ground conservation benefits. Experience with or interest in environmental issues, including water quality and quantity management, ecosystem and habitat modeling, and land management is highly desired.

Requirements

Bachelor’s in data science, computer science/engineering, geospatial analysis, GIS or related field.
2-3 years experience using data science to solve problems.
Familiarity with AI (e.g., neural networks for NLP, computer vision, etc.), ML. (e.g., random forests, clustering, PCA, etc.) techniques.
Proficient in Python. Experience with other programming languages such as JavaScript, R, or similar.
Familiarity with SQL and relational databases.
Familiarity with Git and GitHub
Experience analyzing geospatial data.
Experience analyzing time series data.
Experience developing and conducting statistical analysis including: Bayesian modeling, causal inference methods, generalized linear models, joint modeling, or hierarchical models.
Excellent oral and written communication skills.
Team player with proven ability to build trusted relationships.
Demonstrated ability to work efficiently, independently manage time, and meet demanding deadlines.
Ability to learn new technologies, adapt to dynamic mission needs, and develop/test new analytic methodologies

Nice To Haves

Experience with TensorFlow, PyTorch, or Keras
Experience managing resources on cloud computing platforms e.g., Azure or AWS
Experience working with remote sensing data and repositories e.g., Google Earth Engine, Microsoft Planetary Computer
Experience deploying web-based software
Experience managing and maintaining servers hosting web applications
Experience building custom web applications
Excellent oral and written communication skills
The ability to translate data science to non-technical people at all levels
Experience adapting geospatial foundational models

Responsibilities

Create data science solutions for a diverse set of environmental problems.
With guidance from the Deputy Director, the Conservation Data Specialist will develop and test data visualization and analytical tools that use statistics, machine learning, and AI to generate new information that improves conservation decision making.
Develop efficient pipelines to leverage large data sets.
Work closely with the CIC team and external partners to incorporate domain expertise into the design and function of data science solutions that improve conservation workflows and outcomes.
Collaborate with team members.
Obtain, organize, and process component datasets.
Independent problem solving.
Compiling deliverables.