Senior Data Scientist at LOUIS DREYFUS COMPANY ASIA PTE LTD

São Paulo, São Paulo, Brazil -

Full Time

Start Date

Immediate

Expiry Date

03 Jun, 26

Salary

0.0

Posted On

05 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, ETL, DevOps, Cloud-based, Data Automation, Data Analysis, Code Reviews, Data Quality Checks, Predictive Models, Geospatial Cloud, GEE

Industry

Food and Beverage Manufacturing

Description

Company Description Você conhece a LDC? A LDC é uma das principais comercializadoras e processadoras global de produtos agrícolas, com um portfólio diversificado, que abrange toda a cadeia de valor, da originação à distribuição. Com atividades no centro da produção agrícola e de alimentos e guiados pelos nossos fortes valores, por um legado rico e uma visão clara, estamos comprometidos em trabalhar por um futuro seguro e sustentável. Ajudamos a alimentar e vestir cerca de 500 milhões de pessoas todos os anos, originando, processando e transportando aproximadamente 81 milhões de toneladas de produtos. Estruturada como uma organização matricial de 6 regiões geográficas e 10 plataformas, a LDC está ativa em mais de 100 países e emprega cerca de 18.000 pessoas em todo o mundo. Somos guiados por valores que norteiam todos os públicos em nosso trabalho. A ética e integridade fazem parte de todas as relações de negócio, assim como a humildade, comprometimento e diversidade. Job Description LDC is seeking a skilled Data Scientist to join our dynamic Global Data Science team at LDC. In this critical role, you will leverage your expertise in Python programming, ETL processes, and cloud-based DevOps to enhance our data infrastructure and software development practices used for data analysis. Your contributions will be key in supporting our data science activities, and overall, our data-driven decision-making processes. Your work will be instrumental in empowering our trading platforms with robust data solutions. You will collaborate with experienced data scientists, researchers, and traders, gaining exposure to real-world trading strategies and agricultural analytics. Main responsibilities: Support continuous improvement and programmatical best practice of supply modelling of agricultural commodities. Work with and manage weather data. Help implement and test Python scripts for data automation and analysis, focusing on reliability and scalability. Participate in code reviews, data quality checks, and troubleshoot. Collaborate closely with business teams (traders, analysts, agronomists) to understand their needs and translate them into robust analytical and modelling solutions. Communicate findings and technical concepts clearly to both technical and non‑technical audiences, providing context and business implications. Qualifications Bachelor’s or Master’s degree in Statistics, Computer Science, Engineering, Economics, or a related STEM field. Experience in data engineering, data science, or software development. Proficiency in Python & SQL and familiarity with software development best practices. Advanced English. Additional Information Experience in developing predictive models is a plus. Willingness to learn geospatial cloud and services (GEE experience is a plus). Years of Work Experience: 0+

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Responsibilities

The role involves supporting the continuous improvement and best practices for supply modeling of agricultural commodities, including managing weather data and implementing Python scripts for data automation and analysis. Responsibilities also include collaborating with business teams to translate needs into analytical solutions and communicating findings clearly.