Gerente de Inteligencia de Cultivos (Remoto)

Placements24; México; Hybride; MXN 900 000 - 1 400 000; Plein temps

Avantages offerts par ce poste

Remote work

Home office stipend

Professional development

Generous paid time off

Résumé du poste

Placements24 seeks a highly skilled Crop Intelligence Manager to lead data science initiatives for agricultural insights. You will drive AI/ML models, manage diverse data sources, and translate complex results into actionable guidance for growers and agronomists.

The role requires 7+ years in data science, leadership, and fluency in Spanish and English, with remote collaboration across a global team. A strong quantitative background and cloud experience are essential.

Qualifications

• 7+ years of experience in data science, analytics, or related field.
• At least 3 years focused on agricultural applications.
• Proven experience developing and deploying predictive models using ML techniques.
• Strong programming skills in Python or R and data manipulation libraries.
• Experience with cloud platforms and big data tech is a plus.
• Fluency in Spanish and English.

Responsabilités

• Lead development of data analytics, AI, and ML models for crop intelligence.
• Oversee collection, integration, and processing of diverse ag datasets.
• Develop predictive models for yield, disease risk, pests, and nutrients.
• Translate findings into actionable insights for growers and agronomists.
• Manage a remote team of data scientists and analysts.
• Collaborate with product teams to integrate crop intelligence features.

Connaissances

Leadership

Python

R

Machine learning

Data analysis

Communication

Spanish

English

Formation

Master's or PhD in Data Science / CS / Statistics / Agronomy

Outils

Pandas

SQL

AWS

Azure

GCP

BigQuery

Description du poste

About the Role

Our client, a leader in agricultural data analytics and insights, is seeking a highly motivated Gerente de Inteligencia de Cultivos (Crop Intelligence Manager) to join their fully remote team. This pivotal role will focus on leveraging advanced data analytics, AI, and machine learning to provide deep insights into crop performance, health, and yield predictions. You will be responsible for developing and managing data-driven strategies that empower agricultural producers to make more informed decisions and optimize their operations. The ideal candidate possesses a strong quantitative background, extensive experience in data science applied to agriculture, and excellent leadership skills. This is a fantastic opportunity to work remotely and significantly influence the future of crop management through cutting-edge technology.

Key Responsibilities

Lead the development and application of data analytics, AI, and machine learning models for crop intelligence. Oversee the collection, integration, and processing of diverse agricultural datasets (e.g., weather, soil, imagery, yield data). Develop predictive models for crop yield, disease risk, pest outbreaks, and nutrient deficiencies. Translate complex data findings into actionable insights and recommendations for growers and agronomists. Manage a team of data scientists and analysts focused on agricultural applications. Collaborate with product development teams to integrate crop intelligence features into company platforms. Stay abreast of the latest advancements in data science, AI, and agricultural technology. Define key performance indicators (KPIs) for crop intelligence initiatives and monitor their success. Present findings and strategic recommendations to senior leadership and key stakeholders.

Requirements

Master's or Ph.D. in Data Science, Computer Science, Statistics, Agronomy (with a strong quantitative focus), or a related field. Minimum of 7 years of experience in data science, analytics, or a related field, with at least 3 years focused on agricultural applications. Proven experience in developing and deploying predictive models using machine learning techniques (e.g., regression, classification, deep learning). Strong programming skills in languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas). Familiarity with agricultural data sources and challenges. Excellent leadership, communication, and presentation skills, comfortable working in a remote environment. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus. Demonstrated ability to translate complex technical concepts into business value. Fluency in Spanish and English is required.

Benefits

Our client offers a highly competitive compensation package, comprehensive remote work benefits including health, dental, and vision insurance, a substantial home office stipend, and generous paid time off. We foster a culture of continuous learning and provide ample opportunities for professional development. Join a leading organization that is revolutionizing agriculture through data and technology, offering the flexibility and impact of a remote career.