What are the responsibilities and job description for the Senior Data Scientist position at Louis Dreyfus Company?
Job Description
We are looking for a Data Scientist with a passion for agriculture and a proven track record of solving complex problems. As a Data Scientist, you will be responsible for managing a team of Data Scientists developing and applying analytical and machine learning solutions to various agricultural challenges. You will work with large spatial-temporal datasets, standard analytical packages, and financial instruments to optimize supply, demand, and marketing strategies. You will also communicate your findings and recommendations to local and global stakeholders.
This position is not eligible for sponsorship. Position sits in Wilton, CT
Essential functions:
Develop predictive models: Use statistical, econometric, and machine learning tools to analyze large-scale internal and public commodity-related data. This includes estimating supply, demand, and price models based on sound theory, subject-matter knowledge, and best-practice programming techniques.
Analyze weather datasets: Transform and analyze large-scale raster and vectorized global weather datasets such as GFS for various analytical purposes.
Create dashboards and custom tools: Develop dashboards and custom tools to deploy findings to commercial groups using latest tools and technologies.
Present findings: Present findings to broad commercial groups and effectively summarize and communicate model features and results for global risk management.
Contribute to database construction: Contribute to the construction and maintenance of internal databases and Python libraries.
Build high-quality models: Build high-quality statistical, economic, and machine learning models on demand using state-of-the-art analytical tools. Clearly explain assumptions, model advantages, and limitations.
We are looking for a Data Scientist with a passion for agriculture and a proven track record of solving complex problems. As a Data Scientist, you will be responsible for managing a team of Data Scientists developing and applying analytical and machine learning solutions to various agricultural challenges. You will work with large spatial-temporal datasets, standard analytical packages, and financial instruments to optimize supply, demand, and marketing strategies. You will also communicate your findings and recommendations to local and global stakeholders.
This position is not eligible for sponsorship. Position sits in Wilton, CT
Essential functions:
Develop predictive models: Use statistical, econometric, and machine learning tools to analyze large-scale internal and public commodity-related data. This includes estimating supply, demand, and price models based on sound theory, subject-matter knowledge, and best-practice programming techniques.
Analyze weather datasets: Transform and analyze large-scale raster and vectorized global weather datasets such as GFS for various analytical purposes.
Create dashboards and custom tools: Develop dashboards and custom tools to deploy findings to commercial groups using latest tools and technologies.
Present findings: Present findings to broad commercial groups and effectively summarize and communicate model features and results for global risk management.
Contribute to database construction: Contribute to the construction and maintenance of internal databases and Python libraries.
Build high-quality models: Build high-quality statistical, economic, and machine learning models on demand using state-of-the-art analytical tools. Clearly explain assumptions, model advantages, and limitations.
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