Data Scientist with BI and R

• We are looking for BI/ Data Scientist consultant, with R experience.
• The candidate must have experience in writing Python scripting.
• Looking for someone having AWS cloud experience, s3, redshift, or other cloud-based data storage
• Experience with project management control GIT bucket/CSS as well.
• Should have strong experience with data.
• Strong programmatic fluency for data analytics.
• Experience with R, including scripting, functional programming, package management, markdown and shiny. Python experience a plus.
• Experience with R in a cloud/Aws environment, specifically reading and writing to s3, redshift, or other cloud-based data storage.
• Project management with version control in git/bitbucket.
• Proficiency in statistical analysis methods and data visualization techniques to interpret climate-related datasets.
• Ability to construct effective and clean visualizations including charts, tables, and maps for use in analytics.
• Experience with custom CSS or JS in R is a plus.

Need to have

• Experience with data management and database systems for organizing and accessing large volumes of climate-related data, prefer experience with Redshift, and S3.
• Experience with large data management techniques such as partitioning, multi-threading, parquet, Spark/Hadoop, etc.
• Familiarity with GIS (Geographic Information Systems) software and spatial analytics tools for mapping and analyzing geospatial data related to climate impacts.
• Experience creating and publishing dashboards in Tableau, specifically end-to-end pipeline execution - creating data extracts, optimization, dashboard design and build, publishing to Tableau server, scheduling and refresh.

Non-technical requirements: Nice to have

• Strong analytical and problem-solving skills to identify and address challenges related to climate change mitigation and adaptation strategies.
• Experience in conducting risk assessments and scenario planning for climate-related impacts on businesses or communities.
• Excellent communication skills to convey complex climate data and analysis results to diverse stakeholders effectively.
• Knowledge of climate science principles and understanding of climate change models and projections.