Data Scientist
3 weeks ago
Company: Leading financial domain client
Location: Washington, DC / Hybrid
Employment Type: W-2 / Independent Contractor
Duration: 6-month Contract
Salary: $65 - $70 per hour
Benefits: None specified (typical for contract positions)
Summary:
Our client is seeking a highly skilled Data Scientist with expertise in R/Python and experience in climate data analysis to join our team on a 6-month contract basis. This role offers the opportunity to work with a leading financial institution and contribute to critical climate change initiatives.
Responsibilities:
- Utilize Python/R programming for data analysis, including scripting, functional programming, package management, and data visualization tools (e.g., markdown, shiny).
- Work within a cloud environment (AWS) to access and manage climate data stored in S3 and Redshift databases.
- Implement project management practices and utilize version control systems (Git/Bitbucket).
- Conduct statistical analysis and create compelling data visualizations (charts, tables, maps) to interpret climate-related datasets.
- Develop and maintain clean and informative dashboards using Tableau, including data extraction, optimization, design, publishing, scheduling, and refresh.
- Apply strong analytical and problem-solving skills to address climate change mitigation and adaptation strategies.
- Conduct risk assessments and scenario planning to evaluate the impact of climate change on businesses and communities.
- Effectively communicate complex climate data and analysis results to a diverse audience.
Qualifications:
- Proven experience using R/Python for data analysis.
- Familiarity with Python programming is a plus.
- Experience working with cloud environments, particularly AWS S3 and Redshift.
- Proficiency in statistical analysis methods and data visualization techniques.
- Experience with project management and version control systems.
- Strong understanding of climate data and its analysis.
- Excellent communication and presentation skills.
Preferred Qualifications:
- Experience with custom CSS or Javascript in R.
- Experience with large data management techniques (partitioning, multi-threading, parquet, Spark/Hadoop).
- Familiarity with GIS software and spatial analytics tools.
- Experience creating and publishing dashboards in Tableau (end-to-end pipeline execution).
- Experience in conducting risk assessments and scenario planning related to climate change.
To Apply:
Please submit your resume and cover letter online. We will only be considering candidates located in the Washington, DC area or nearby.
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