Data Science Data Science Senior Data Scientist

Biome Makers Inc.; Madrid; A distancia; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

A global AgTech company is seeking a Senior Data Scientist to develop statistical and machine learning models focusing on microbiome and environmental data. The role requires proficiency in Python, R, and experience with CI/CD tools. PhD or equivalent experience required. Flexible scheduling and development opportunities provided.

Servicios

Flexible Scheduling Hours

Professional Development & Education Opportunities

Formación

• 4+ years of experience as a Data Scientist or Statistician (industry or academia).
• Exposure to DevOps practices and tools (e.g., CI/CD pipelines, containerization, monitoring).
• Comfort working in Unix/Linux environments.

Responsabilidades

• Design and implement statistical and machine learning models applied to complex biological and environmental data.
• Analyze microbiome and spatial data using reproducible, automated workflows.
• Integrate GIS data into predictive and inferential modeling.
• Maintain well-documented, modular code using version control.
• Set up and manage automated workflows using CI/CD tools.
• Contribute to planning and delivering tailored analytical solutions.

Conocimientos

Strong programming skills in Python and R

Advanced knowledge of statistical inference and machine learning algorithms

Hands-on experience with biological count or compositional data

Proficiency with version control systems (Git)

Experience with CI / CD tools like Jenkins

Familiarity with relational databases and querying with SQL

Practical experience working with GIS tools and R libraries

Experience with cloud platforms (e.g., AWS)

Educación

PhD or equivalent experience in bioinformatics, statistics, computer science, environmental science, or a related quantitative field

Herramientas

Jupyter

RMarkdown

Snakemake

Descripción del empleo

Biome Makers is a global AgTech on a mission to restore soil health We preserve the startup mindset of innovation and continue to bring solutions to tackle global challenges. 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.

Spain (remote)

Design and implement statistical and machine learning models applied to complex biological and environmental data, including microbiome datasets.

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.

Contribute to planning and delivering tailored analytical solutions for internal projects and external clients.

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., 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.

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.

Flexible Scheduling Hours

Professional Development & Education Opportunities

Our team specializes in soil science, agriculture, business, genetics, biotechnology, computer science, and much more. To promote sustainable agriculture worldwide

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.

All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, national origin, disability, or veteran status.

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