Agricultural Data Scientist
4 weeks ago
Agricultural Data Scientist Role Summary
Leverage your expertise in data analytics and statistics, combined with a deep understanding of agriculture, to drive business value through data-driven insights. As an Agricultural Data Scientist, you will perform exploratory analysis, develop impactful data visualizations, and implement machine learning algorithms to inform business decisions.
Key Responsibilities:
- Conduct data discovery to identify and capture the lifecycle of data assets, and source-to-target data mapping.
- Partner with business stakeholders to define requirements and design data origination and maintenance workflows and service levels.
- Design processes with IT and business stakeholders to capture and resolve data issues in a timely manner.
- Assess the effectiveness of data origination, maintenance, and issue management processes, and present recommendations for improvement.
- Drive and/or participate in data pipeline development, deployment, and maintenance activities leveraging tools including Python, SQL, Databricks, Azure DevOps, and Azure Data Factory.
- Apply data science techniques to solve complex business challenges, improve efficiencies, and lead to positive return-on-investment outcomes.
- Develop relationships with business stakeholders across the company to create a positive culture around the use of data and analytics to enhance operations and outcomes.
Requirements:
- Bachelor's or Master's degree in Statistics, Data Science, or Computer Science with a significant and strong agriculture background.
- 5+ years related experience and/or training.
- Python programming language.
- SQL.
- Spatiotemporal analysis.
- Remote sensing data.
- Computer Vision.
- The Azure cloud platform and associated tools including Databricks, Apache Spark, Azure Data Factory, etc.
- GIS & GPS technologies.
- Farming equipment and control systems.
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