Data Scientist for Coffee Platform

  • Louis Dreyfus Company
  • Geneva, Geneve, Switzerland
  • 29/07/2022
Full time Data Science Data Analytics Artificial Intelligence Statistics DevOps

Job Description

Job details

Job Type
Permanent

Full Job Description

Summary
 
To support its growing need on analytics, Louis Dreyfus Company is looking for a data scientist involved in the data strategy of the predictive analytics service. Positioned within the Coffee Platform, the candidate will be in charge of structuring and analyzing company and market data and supporting the trading platform in their journey to improved data-driven decision. The candidate will have a small team of data analysts reporting to him/ her. The ideal candidate is adept at using large data sets to find opportunities in commodity market events and logistics process optimization, and developing models to test the effectiveness of different courses of action. He/She must have a strong experience using a variety of data mining/data analysis methods in the commodity sector, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. The right candidate will have a passion for discovering solutions hidden in large data sets to improve business outcomes. Working with stakeholders of the platform (traders, researchers), his or her objective will be to: - collect, organize and analyze large sets of data; - lead the change to more structured data storage organization; - continuously improve the trader’s reach to data, by exploring multiple types of opportunities; - enable sustainable approach to models, and scalability to the use of internal or external data; - help develop quantitative financial or agronomic products / dashboards used to inform the traders of market trends or events; - develop a quantitative approach of data analysis to contribute to the trading strategies of the platform The data scientist shall participate to our predictive analytics community: sharing with the team his/her findings, and contributing to the evolution of our analytics practices.
 
Main Responsibilities
  • Work with stakeholders throughout the trading organization to identify opportunities for leveraging company and public data to drive business decisions, qualifying robustness and ability to trade
  • Import/Collect, clean, convert and analyze the data for the purpose of finding insights and making conclusions
  • Structure the existing set of data and the way current data is being collected to build an efficient source of data for analysis
  • Design and develop relational databases for collecting data. Present data in graphs, charts, tables, etc
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Develop new analytical tools and methods as and when required
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Prepare concise data reports and data visualizations for the management that will help in decision making process
  • Develop quantitative tools from datasets in order to contribute directly to the trading strategies of the platform
  • Lead and develop a small team of data analysts to support the data science
Experiences
  • 5-7 years of experience manipulating data sets and building statistical models
  • Experience in the commodity sector
  • Experience using statistical computer languages (Python, SLQ, etc.) to manipulate data and draw insights from large data sets
  • Experience in agribusiness or other commodity markets
  • Project management experience
Skills
  • Model testing and hypothesis validation, data visualization
  • Strong mathematical background: Statistics and Algebra
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
  • Quick learner with strong problem-solving skills
  • Strong interpersonal skills and ability to engage and communicate with all levels within the organization
Required Languages
  • English (Fluent)
Education
 
a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field
 
Main Responsibilities
 
Along with the below listed responsibilities, the employee should conduct any other business related to the function as required by her or his supervisor.
  • Work with stakeholders throughout the trading organization to identify opportunities for leveraging company and public data to drive business decisions, qualifying robustness and ability to trade
  • Import/Collect, clean, convert and analyze the data for the purpose of finding insights and making conclusions
  • Structure the existing set of data and the way current data is being collected to build an efficient source of data for analysis
  • Design and develop relational databases for collecting data. Present data in graphs, charts, tables, etc
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Develop new analytical tools and methods as and when required
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Prepare concise data reports and data visualizations for the management that will help in decision making process
  • Develop quantitative tools from datasets in order to contribute directly to the trading strategies of the platform
  • Lead and develop a small team of data analysts to support the data science
Experiences
  • 5-7 years of experience manipulating data sets and building statistical models
  • Experience in the commodity sector
  • Experience using statistical computer languages (Python, SLQ, etc.) to manipulate data and draw insights from large data sets
  • Experience in agribusiness or other commodity markets
  • Project management experience
Skills
  • Model testing and hypothesis validation, data visualization
  • Strong mathematical background: Statistics and Algebra
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
  • Quick learner with strong problem-solving skills
  • Strong interpersonal skills and ability to engage and communicate with all levels within the organization
Required
Languages
  • English (Fluent)
Required
Education
a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field
Job Reference SP-8849835567
Professional Areas Trading Platforms
Function Business Intelligence and Data Science
Contract Type Permanent
Years of Work Experience 5 - 7 years
Start date 2022-07-26
Application close date 2022-10-24