Berry Yield Forecaster (Europe) — Data-Driven Agronomy

Bitwise Agronomy; As Catro Rúas; A distancia; EUR 52.000 - 76.000; Jornada completa

Descripción de la vacante

Bitwise Agronomy in Galicia, Spain, seeks a data scientist to translate complex agronomy data into accurate yield forecasts and to profile and fix data quality issues across datasets.

You will build reproducible workflows, develop transparent models, and communicate results to non-technical stakeholders while collaborating with customers across time zones using Python, SQL, and AI tools.

Formación

• Bachelor's or Master's degree in Agronomy, Agricultural Science, Data Science, Statistics or related field preferred.
• Hands-on experience translating datasets into yield forecasts and identifying data quality issues.
• Proficiency in Python, Excel/Google Sheets, and SQL for data analysis and modelling.
• Experience using AI tools for data analysis and model development.

Responsabilidades

• Translate complex agronomy datasets (growth days, temp, solar radiation) into actionable yield predictions.
• Profile and fix data quality issues; build reproducible data pipelines.

Conocimientos

Python

R

Data analysis

Excel

Google Sheets

SQL

Communication

Time zones

Educación

Bachelor's or Master's in a relevant field

Herramientas

Power Query

Claude AI

Descripción del empleo

Bitwise Agronomy in Galicia, Spain, seeks a data scientist to translate complex agronomy data into accurate yield forecasts and to profile and fix data quality issues across datasets.

You will build reproducible workflows, develop transparent models, and communicate results to non-technical stakeholders while collaborating with customers across time zones using Python, SQL, and AI tools.