Junior Data Scientist & Research Analyst, Palm

We are seeking a motivated and enthusiastic Junior Data Scientist and Research Analyst to join our Palm Platform team. The ideal candidate will have a passion for agriculture and a thirst for learning new skills. As a Junior Data Scientist and Research Analyst, you will play a key role in developing and applying analytical and machine learning solutions to tackle various agricultural challenges. You will have the opportunity to work with large spatial-temporal datasets, standard analytical packages, and financial instruments to support supply, demand, and marketing strategies. We are looking for someone who thrives on technology and innovation, excels at solving complex problems with creative solutions, and is adept at communicating findings to local and global stakeholders proactively.

Main Responsibilities:

• Contribute to database construction:
  
  • Contribute to the construction and maintenance of internal databases and Python libraries.
• Analyse internal and external data sources:
  
  • Proactively monitor external data and market intelligence, stay abreast of routine releases, policies, and market trends.
  • Analyse and extract valuable insights from data and market information.
• Develop high-quality models, including predictive models:
  
  • Use high-quality 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, and best-practice programming techniques, andstate-of-the-art analytical tools. Clearly explain assumptions, model advantages, and limitations.
• Create and maintain dashboards and custom tools:
  
  • Develop dashboards and custom tools to deploy findings to commercial groups using latest tools and technologies, while ensuring its integrity and accuracy
• Present findings:
  
  • Present findings to broad commercial groups and effectively summarize and communicate model features and results for global risk management.

Experiences &
Competencies:

• Knowledge of statistical methods and machine learning techniques, with practical experience applying them to real-world agricultural problems
• Strong written and verbal communication skills – Know how to communicate/explain complex ideas in a simple way to non-technical stakeholders
• Good time management skills and ability to manage multiple tasks and work to deadlines
• Interpersonal skills, ability to forge relationships with colleagues and external contacts
• Ability to work within a complex and international environment
• Genuine interest in global economics and commodities markets

Technical Skills:

• Advanced IT skills (e.G., Excel, VBA, PowerPivot, Power Query)
• Good Programming skills (Python, etc.) and experience with data analysis libraries (e.G., Pandas, NumPy, SciPy, GeoPandas, etc.)
• Strong command on SQL and Data visualization tools
• Good Business Intelligence awareness

Language:

• English (Fluent)

Academics:

• Degree in Computer Sciences, Statistics, or Mathematics, or related field of study