Commodity Data Scientist

Medium; Ciudad Autónoma de Buenos Aires; Híbrido; ARS 9.750.000 - 12.500.000; Jornada completa

Descripción de la vacante

A leading company in agriculture technology is seeking a Hybrid Commodity Data Scientist in Argentina. This role involves developing market insights, managing large datasets, and applying machine learning to enhance decision-making in agriculture. The ideal candidate will have a strong background in data science and a passion for advancing agricultural practices. Compensation is set at $35 - $40 an hour.

Formación

• 3–7 years in quantitative research, data science, or analytics in commodity markets.
• Experience in machine learning and AI techniques applied to commodity datasets.
• Ability to communicate complex insights to non-technical audiences.

Responsabilidades

• Develop a commodity price forecasting and market bias engine.
• Analyze large-scale agricultural datasets to derive key insights.
• Translate complex model outputs into farmer-relevant narratives.

Conocimientos

Machine learning techniques

Data visualization tools

Quantitative research

NLP models

Cross-team collaboration

Passion for agriculture

Educación

MS or Ph.D.

Herramientas

R

Python

MatLab

PostgreSQL

Descripción del empleo

We are seeking Hybrid Commodity Data Scientist to join our team in Argentina.

Overview

This person will join our rapidly growing Ag market advisory business as a thoughtleader who will enable all of our commercial business units through research, insights, and recommendations. This person will be fundamental to establishing our company as a leader in the Ag Market Advisory space. This is a unique opportunity to become a critical part of a high-value business line at one of the fastest growing companies in the Ag industry.

Key Responsibilities

• Work with the brokerage and data science team to develop, maintain, and update a commodity price forecasting and market bias engine that evolves with new data and model improvements
• Identify, ingest and analyze large-scale, multi-dimensional agricultural datasets (e.g., USDA, satellite imagery, weather, shipping/export data, supply/demand) to develop key insights
• Design and structure market data, forecasts, and insights in a way that enables seamless integration with a large language model (LLM)-powered chat tool, ensuring accurate, timely, and context-aware communication of market updates to farmer subscribers
• Translate complex model outputs into simple, farmer-relevant narratives and visuals that support crop marketing decisions
• Support in-field advisory program by communicating analysis and recommendations to our farmer-facing advisors on a regular basis
• Relay insights and forecasts in public settings, including but not limited to our farmer seminars and media interviews
• Work closely with product team to develop the next generation of online tools to support marketing efforts for individual farm operations
• Help to continually refine our Crop Marketing philosophy and identify new ways it can serve the marketing needs of its members

Qualifications

• Required characteristics/qualifications include:
• MS or Ph.D required
• 3–7 years in quantitative research, data science, or analytics roles within commodity markets, agtech, trading firms, hedge funds, or research institutions
• Demonstrated ability to apply machine learning and AI techniques (e.g., ensemble models, deep learning, time-series modeling) to commodity market datasets
• Familiarity with NLP models (e.g., LLMs) and prompt engineering to support AI-enhanced customer communication
• Proficient in data visualization tools and frameworks that can deliver actionable insights to non-technical audiences (e.g., dashboards, automated reports)
• Experience collaborating across teams (engineering, sales, product) to align modeling outputs with commercial needs and customer value
• Passionate about agriculture and farming; a desire to put the farmer first
• Highly independent, goal-oriented and creative
• Commodity Analyst – Data Science
• A willingness to work in a fast-paced start-up environment, this is not a 9-5 job
• Willingness to travel 10-15% of time
• Preferred characteristics/qualifications include:
• Specialized knowledge of corn, soybeans, wheat markets
• Experience in high-level programming environments such as R, Python, MatLab, PostgreSQL
• Application of latest machine learning toolsets to price prediction and its underlying supply and demand components

Compensation: $35 - $40 an hour

About 1840 & Company

1840 & Company is a global leader in Business Process Outsourcing (BPO) and remote talent solutions, dedicated to propelling businesses forward through our comprehensive suite of services. We specialize in connecting companies with world-class freelance professionals and delivering top-tier outsourcing services, across over 150 countries worldwide.

Our mission is to empower growth for forward-thinking businesses, seamlessly bridging any skill or resource gaps with our expertly vetted talent pool. We firmly believe in fostering an environment where exceptional individuals can achieve an optimal work-life balance, working remotely from any location, while maximizing their professional growth and earning potential.

We are headquartered in Overland Park, KS, USA with service delivery facilities in the Philippines, India, Ukraine, South Africa and Argentina. We invite you to explore the opportunities we offer and consider joining our exclusive network of global freelance talent. Visit www.1840andco.com to learn more about us. To explore a wealth of career opportunities and find a role that suits your unique skills and aspirations, please visit our dedicated jobs portal at jobs.1840andco.com. #LI-MA1