Senior Data Scientist

Arable; A distancia; MXN 400,000 - 600,000; Jornada completa

Descripción de la vacante

An innovative agricultural technology company is seeking a Senior Data Scientist to join their remote team in Mexico. The ideal candidate will have a strong research background and at least 4 years of experience in developing data-driven models. This role focuses on applying machine learning and statistical analysis to improve agricultural water management. You will work with cross-functional teams to create impactful solutions and ensure scientific rigor in your models. A competitive local compensation package and benefits are offered.

Servicios

Competitive local compensation package

Comprehensive benefits

Flexibility of remote work

Formación

• 4+ years of hands-on experience developing and deploying data-driven models.
• Professional working proficiency in English.
• Strong expertise in building and validating predictive models.

Responsabilidades

• Take ownership of the full lifecycle of predictive models.
• Contribute to applied R&D projects to enhance model accuracy.
• Work closely with cross-functional teams to meet user needs.
• Ensure high standards for model performance and data integrity.

Conocimientos

Machine learning

Statistical analysis

Physics-based modeling

Python

Collaboration

Data validation

Remote sensing

Educación

BS in a quantitative or scientific field

MS or PhD in a relevant scientific field (preferred)

Herramientas

Docker

AWS

pandas

NumPy

scikit-learn

SciPy

Descripción del empleo

What We're Looking For :

Arable Labs is seeking a scientifically-minded and skilled Senior Data Scientist based in Mexico to join our globally distributed team.

We are looking for an individual with a strong research background to apply deep expertise in machine learning, statistical analysis, and physics-based modeling to solve complex challenges in agricultural water management.

Your work will focus on modeling atmospheric processes and field-level hydrology to deliver critical insights for farms.

If you are passionate about applying your scientific skills to tangible environmental problems and thrive in a remote, collaborative setting, this role is for you.

What We Do :

At Arable, our mission is to accelerate the adoption of sustainable agriculture.

Our integrated hardware-software solution empowers growers to make more informed decisions, manage resources like water sustainably, and adapt to climate change.

We believe reliable, hyper-local data is the foundation for a more resilient and productive agricultural future.

Where You'll Make an Impact :

• Develop and improve spatio-temporal models of atmospheric processes to help farmers optimize water use for both pivot and flood irrigation systems.
• Advance Arable's predictive capabilities through the application of novel ML techniques and sensor data analysis.
• Contribute directly to tools that support climate resilience and sustainable water management practices in agriculture.

What You Will Do :

• Own End-to-End Model Development : Take ownership of the full lifecycle of predictive models, from research and prototyping to deployment and monitoring, using a blend of machine learning, statistical, and physics-based approaches.
• Execute Applied Research : Contribute to applied R&D projects to enhance model accuracy, leverage new data sources (including remote sensing and geospatial data), and develop novel predictive features.
• Collaborate for Impact : Work closely with our cross-functional teams in Product, Sensors, and Software to ensure data science solutions effectively meet user and business needs.
• Ensure Scientific Rigor : Uphold high standards for model performance and data integrity through rigorous validation and analysis, contributing to the team's technical best practices.

Experience and Skills :

Required

• BS in a quantitative or scientific field (e.g., Physics, Atmospheric Science, Environmental Science, Engineering, Computer Science).
• 4+ years of hands-on experience developing and deploying data-driven models in a commercial or research setting.
• Professional working proficiency in English (written and verbal). Collaboration in a globally distributed team.
• Strong expertise in building and validating predictive models using machine learning, statistical, or physics-based methods.
• Proficiency in Python for data science (e.g., pandas, NumPy, scikit-learn, SciPy), strong software engineering practices (Git, testing), and experience deploying models using containers (Docker) on cloud platforms (AWS).
• Proven ability to communicate and collaborate effectively in a highly distributed team across significant time zone differences.

Preferred

• MS or PhD in a relevant scientific field.
• Background in agronomy, hydrology, atmospheric science, or environmental science.
• Experience working with remote sensing, atmospheric, or geospatial datasets.
• Ability to thrive and take ownership in a fast-paced, dynamic startup setting.

Location

Remote within Mexico.

Travel to the US and other locations once per quarter at most.

What We Offer :

Join a dedicated team at Arable using cutting-edge technology to build a more sustainable future.

We foster a culture of curiosity, impact, and collaboration.

A competitive local compensation package.

Comprehensive benefits in accordance with local standards.

The flexibility of a remote work environment.

The opportunity to see your work create a tangible positive impact for growers and the environment.