Senior Data Scientist - Commodities

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 17,000 people globally.

We are looking for a Data Scientist with a passion for agriculture and a proven track record of solving complex problems. As a Data Scientist, you will be responsible for managing a team of Data Scientists developing and applying analytical and machine learning solutions to various agricultural challenges. You will work with large spatial-temporal datasets, standard analytical packages, and financial instruments to optimize supply, demand, and marketing strategies. You will also communicate your findings and recommendations to local and global stakeholders. 

**This position is not eligible for sponsorship. Position sits in Wilton, CT**

Essential functions: 

• Develop predictive models: Use 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, subject-matter knowledge, and best-practice programming techniques. 

• Analyze weather datasets: Transform and analyze large-scale raster and vectorized global weather datasets such as GFS for various analytical purposes. 

• Create dashboards and custom tools: Develop dashboards and custom tools to deploy findings to commercial groups using latest tools and technologies. 

• Present findings: Present findings to broad commercial groups and effectively summarize and communicate model features and results for global risk management. 

• Contribute to database construction: Contribute to the construction and maintenance of internal databases and Python libraries. 

• Build high-quality models: Build high-quality statistical, economic, and machine learning models on demand using state-of-the-art analytical tools. Clearly explain assumptions, model advantages, and limitations. 

To be successful in this role, you should have the following qualifications: 

• Must have a minimum 5 years of agriculture/commodity industry experience in data science, analytics, or related fields. 

• Degree in data science, statistics, computer science, or similar (advanced degree is a plus) 

• Strong leadership and management skills. You should be able to motivate, coach, and guide your team to achieve high performance and quality standards. You should also be able to foster a culture of collaboration, innovation, and continuous learning within your team and across the organization. 

• Excellent programming skills in Python or a similar language. You should be able to create functions, classes, modules, and packages using best practices and standards. 

• Expertise in data science tools and techniques. You should be proficient in programming languages such as Python, SQL, etc. You should also be familiar with data science frameworks and libraries such as Pandas, Numpy, Geopandas, Scikit-learn, etc. You should also be able to apply advanced statistical, machine learning, and optimization methods to solve complex business problems. 

• Ability to handle large spatial-temporal datasets. You should be able to work with geospatial data, time series data, and other types of data that have spatial and temporal dimensions. You should also be able to apply appropriate methods and techniques to analyze and model such data. 

• Good understanding of concepts related to supply/demand/marketing in agriculture. You should be familiar with publicly-available agricultural datasets such as USDA, FAO, etc. You should also have some knowledge of financial instruments and or commodity markets related to agriculture. 

• Intellectually creative, willing to share knowledge, adaptive to new techniques. You should be able to generate novel and innovative ideas, collaborate with others, and learn from feedback. You should also be open to exploring new techniques and methods to improve your skills and results. 

• Excellent communication and presentation skills. You should be able to communicate complex data concepts and insights clearly and effectively to various audiences, both technical and non-technical. You should also be able to present your findings and recommendations in a compelling and persuasive manner. 

This is a supervisory position. 

Position is hybrid 3 days a week. No remote work. 

#LI-hybrid

What We Offer

We provide a dynamic and stimulating international environment, which will stretch and develop your abilities and channel your skills and expertise with outstanding career development opportunities in one of the largest and most solid private companies in the world.

- Comprehensive benefits program including medical, dental and vision care coverage, flexible spending account plans, employee assistance program, life insurance and disability coverage
- 401k with Company Match
- Family Friendly Benefits including childbirth and parental leave, fertility and family building benefits
- Paid Time Off (PTO) and Paid Holidays
- Hybrid work available (not applicable to all roles)

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.

Equal employment opportunity (EEO)

Louis Dreyfus Company provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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 people, our business partners, the communities we touch and the environment around us