[R755] Senior Data Scientist

Biome Makers; Valencia; A distancia; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

A global AgTech company is seeking a Senior Data Scientist to design and implement machine learning models on environmental data. The ideal candidate will hold a PhD in a related field, possess 4+ years of experience, and be proficient in Python and R. This remote position offers an opportunity to contribute to sustainable agriculture and soil health worldwide. Strong problem-solving and analytical skills are required.

Formación

• 4+ years of experience as a Data Scientist or Statistician.
• Hands-on experience with biological or compositional data (e.g., microbiome).
• Self-driven and proactive in managing multiple tasks.

Responsabilidades

• Design and implement statistical and machine learning models.
• Analyze microbiome and spatial data using reproducible workflows.
• Communicate results clearly to technical and non-technical audiences.

Conocimientos

Statistical inference

Machine learning algorithms

Python programming

R programming

Problem-solving

Analytical skills

Communication

Educación

PhD or equivalent in related field

Herramientas

Git

Jenkins

SQL

GIS tools

RMarkdown

Jupyter

AWS

Descripción del empleo

We are hiring a Senior Data Scientist at Biome Makers, a global AgTech company dedicated to restoring soil health. Join our multicultural, energetic team of industry experts, scientists, and engineers committed to innovation and sustainability.

About Biome Makers

Founded in California’s Silicon Valley in 2015, we are pioneering soil health with BeCrop technology. Our work integrates soil microbiology into agricultural decision-making to optimize practices and reverse soil degradation. With labs worldwide and impacts across over 1 million acres, we are leading the way in soil functionality and agricultural sustainability.

Position : Senior Data Scientist

Location : Spain (remote)

Responsibilities

• Design and implement statistical and machine learning models on complex biological and environmental data, including microbiome datasets.
• Prototype and evaluate approaches to novel, unstructured problems and deliver solutions.
• Analyze microbiome and spatial data using reproducible workflows (e.g., RMarkdown, Jupyter).
• Integrate GIS data into predictive and inferential models.
• Maintain well-documented, modular code with version control (Git) following best practices.
• Manage automated workflows using CI / CD tools like Jenkins.
• Communicate results clearly to both technical and non-technical audiences.
• Contribute to planning and delivering analytical solutions for projects and clients.

Qualifications

• PhD or equivalent in bioinformatics, statistics, computer science, environmental science, or related field.
• 4+ years of experience as a Data Scientist or Statistician.
• Hands-on experience with biological count or compositional data (e.g., microbiome, gene expression).
• Strong knowledge of statistical inference and machine learning algorithms.
• Proficiency in Python and R, with experience in version control (Git).
• Experience with CI / CD tools like Jenkins and data workflows (RMarkdown, Jupyter).
• Familiarity with SQL, GIS tools, and R libraries.
• Excellent problem-solving, analytical, and communication skills.
• Self-driven and proactive in managing multiple tasks.

Preferred Skills

• Experience with cloud platforms (AWS).
• Exposure to DevOps practices and tools.
• Background in soil or environmental / agri-food data.

Our Culture

We are a diverse, global team committed to sustainable agriculture. Our mission is to promote soil recovery and environmental health worldwide. We value teamwork, innovation, and diversity, and are proud to be an Equal Opportunity Employer.

We look forward to hearing from you!