Senior Data Scientist, Supply Chain

**Company Description**:

- Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally.

We are thrilled to announce the launch of our new **AI Hub in Singapore**, a strategic initiative designed to drive innovation in **Artificial Intelligence (AI), Generative AI, and Data Science**. This hub will play a pivotal role in shaping the future of our business, serving as a center of excellence for delivering cutting-edge AI and data-driven solutions across our diverse product lines. As part of this dynamic and growing team, you will be at the forefront of leveraging AI to address complex challenges and deliver transformative insights for our operations worldwide.

We are looking for a highly skilled Senior Data Scientist for our DT&A Platform with a strong background in Supply Chain. We seek for someone who enjoys hands-on data science work while also possess the ambition to lead strategic initiatives. The role bridges **data science**, **product management**, and **business strategy**, playing a key role in shaping the future of our **supply chain data ecosystem**. A strong initial focus will involve **tracking vessels and their cargoes** while contribute to the creation of a digital twin of our operations. The role offers an unparalleled opportunity to make a tangible impact on our global supply chain optimization and predictive capabilities.

**Main Responsibilities**:

- Data Product Development:

- Design, develop, and manage the lifecycle of high-quality data products
- Algorithm Design:

- Build advanced algorithms, with a focus on fuzzy matching, destination prediction, indicator modeling, and optimization within digital twins
- Data Management:

- Collaborate with data engineers to handle complex, multi-format datasets, ensuring accurate analysis and effective data governance
- Team Coordination:

- Work closely with cross-functional teams, including data architects, data engineers, and the product team to align on project goals, technical specifications, and deliverables
- Stakeholder Engagement:

- Translate business needs into data-driven solutions, ensuring alignment with strategic goals
- Insights Presentation:

- Synthesize raw data into actionable insights, delivering compelling visualizations and narratives for both technical and non-technical stakeholders on a regular basis

**Experiences**:

- At least 2-4 years of relevant experiences
- Strong background in **AIS data, geographical data,**or** time series prediction**:

- Proven experience in designing and implementing quality algorithms for research and data analytics
- Experience in agricultural commodities trading, freight, logistics or similar markets is a strong plus
- Experience with modeling techniques and machine learning algorithms is a plus
- Passionate about staying abreast of the latest trends in AI, data science, and industry innovations
- Genuine interest in commodity trading industry
- Strong analytical and statistical capabilities, with a proven track record in problem-solving
- Excellent communication skills
- Ability to work independently and in collaborative settings
- Independent self-starter who takes initiative, and has a proactive attitude toward problems and issues
- Ability to present complex technical concepts in an accessible manner to stakeholders at all levels
- Ability to communicate with both technical and non-technical stakeholders

**Technical Skills**:

- Proficiency in Python and SQL
- Experience in data analysis libraries (e.g. Pandas, NumPy, SciPy)
- Experience in working with large, complex datasets
- Experience in implementing fuzzy matching algorithms, optimization techniques, and other advanced analytics methods are a strong plus

**Languages**:

- English (Fluent)

**Academics**:

- Degree or Master’s in Mathematics, Statistics, Econometrics, Computer Science, Data Science or related field of study

**Additional Information**:
Additional Information for the job

**Diversity & Inclusion**

LDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion.

LDC encourages diversity, supports local communities and environmental initiatives. We encourage people of all backgrounds to apply.

**Sustainability**

Sustainable value is at the heart of our purpose as a company.

We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our peo