Data scientist and Data Engineer

Job Description:

• Open for Data Scientists for this role.
• This is a Hybrid role (as per need basis)
• Sage maker and S3 are amongst the top skills.
• 4 to 7 years of experience overall
• Combination of technical(data sci) and Business Intelligence/ Data Analytics
• R or Python (must have)
• Experience in cloud-based applications is a must-have
• AWS (preferred)
• Visualization is R or Tableau
• Experience with data sets (Spark/Hadoop) (must have)
• Familiarity with GIS and custom CSS (preferred)
• Most frameworks are in R environment (cloud-based)
• The current team uses R for Sage Framework
• S3/Redshift (preferred)
• Git/Bitbucket (required)

Technical requirements: "Need to have" to "Nice to have" descending:

• 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.
• 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: "Need to have" to "Nice to have" descending:

• 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.