Senior Data Scientist

Biome Makers Inc.; Marbella; A distancia; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

A leading company in AgTech is seeking a Senior Data Scientist to join their innovative team. This remote position involves designing robust analytical solutions, significantly impacting agricultural practices globally. The ideal candidate will have strong programming skills in Python and R, along with experience in handling biological datasets.

Servicios

Flexible Scheduling Hours

Fridays pms off

Competitive & Quick Growth Path

Professional Development & Education Opportunities

Cross-department Support

Formación

• 4+ years of experience as a Data Scientist or Statistician.
• Hands-on experience with biological data including microbiome.
• Experience with CI/CD tools and developing reproducible workflows.

Responsabilidades

• Design and implement statistical and machine learning models.
• Analyze microbiome and spatial data using reproducible workflows.
• Integrate GIS data into predictive modeling.

Conocimientos

Programming

Statistical Analysis

Machine Learning

Problem-Solving

Communication

Educación

PhD in bioinformatics, statistics, or related field

Herramientas

Python

R

GIS

SQL

Descripción del empleo

Biome Makers is a global AgTech on a mission to restore soil health! We are a fun, multicultural and energetic team, composed of industry experts, top scientists, and talented engineers. We preserve the startup mindset of innovation and continue to bring solutions to tackle global challenges. Check out our impact so far through this Report.

Founded in California’s Silicon Valley in 2015, Biome Makers is setting the standard in soil health with BeCrop technology. We integrate soil microbiology into agricultural decision-making to optimise farming practices and reverse the degradation of arable soils. With labs across the globe, customers on 4 continents, and 1M+ acres of land impacted, Biome Makers has revitalised soil functionality and agricultural sustainability worldwide.

We are seeking a Senior Data Scientist with strong programming skills, advanced knowledge of statistical and machine learning modeling, and experience working with biological and environmental datasets, including microbiome data. You will play a key role in designing and implementing robust and reproducible analytical solutions, including the integration of geospatial (GIS) data and CI / CD tools such as Jenkins into modeling pipelines.

Location : Spain (remote)

Duties & Responsibilities :

• Design and implement statistical and machine learning models applied to complex biological and environmental data, including microbiome datasets.
• Rapidly prototype and evaluate different approaches to novel, unstructured problems and deliver effective solutions.
• Analyze microbiome and spatial data using reproducible, automated workflows (e.g., RMarkdown, Jupyter).
• Integrate GIS data (spatial layers, raster / vector models) into predictive and inferential modeling.
• Maintain well-documented, modular code using version control (Git), following best practices in software engineering and reproducibility.
• Set up and manage automated workflows using CI / CD tools like Jenkins, to streamline testing, deployment, and reproducibility.
• Communicate results and statistical concepts clearly to technical and non-technical audiences.
• Contribute to planning and delivering tailored analytical solutions for internal projects and external clients.

Job Competencies & Personal Attributes :

• PhD (or equivalent experience) in bioinformatics, statistics, computer science, environmental science, or a related quantitative field.
• 4+ years of experience as a Data Scientist or Statistician (industry or academia).
• Hands-on experience with biological count or compositional data (e.g., microbiome, gene expression, single-cell).
• Advanced knowledge of statistical inference and machine learning algorithms (supervised and unsupervised).
• Strong programming skills in Python and R.
• Proficiency with version control systems (Git).
• Experience with CI / CD tools such as Jenkins for workflow automation.
• Experience developing reproducible data workflows (e.g., RMarkdown, Snakemake, Jupyter).
• Familiarity with relational databases and querying with SQL.
• Practical experience working with GIS tools and R libraries.
• Strong problem-solving, analytical, and communication skills; comfortable in distributed team settings.
• Self-driven and proactive with the ability to manage multiple tasks in a dynamic environment.

Preferred qualifications

• Experience with cloud platforms (e.g., AWS).
• Comfort working in Unix / Linux environments.
• Exposure to DevOps practices and tools (e.g., CI / CD pipelines, containerization, monitoring).
• Background in soil data or environmental / agri-food applications.

Best Perks in the Industry

• Flexible Scheduling Hours
• Fridays pms off
• Competitive & Quick Growth Path
• Professional Development & Education Opportunities
• Cross-department Support

Biome Makers is an ecosystem. Our team specializes in soil science, agriculture, business, genetics, biotechnology, computer science, and much more. And we are located all over the world! We are a team with different nationalities : Spain, USA, Canada, France, Argentina, and many other countries. We are a team, focused on a final goal : To promote sustainable agriculture worldwide!

Afterall, soil is alive. It harbors an abundance of life forms that breathe, grow, work together, respond to their environment, and perform functions on a community level. Like soil, at Biome Makers, we grow, work together, and perform many functions to support each other and the mission towards soil recovery.

As part of our dedication to the diversity of our workforce, Biome Makers is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, national origin, disability, or veteran status.

We'd love to hear from you!

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Biotechnology Research and Farming

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