Senior Data Scientist (Barcelona, Cataluña, ES)
About this opportunity
Senior Data Scientist
The Senior Data Scientist/Engineer will be responsible for building end-to-end data science solutions for projects across the Veg PS digital landscape. These responsibilities include, but are not limited to:
Partner with the crop teams and digital enablement teams to build statistical or machine learning solutions for projects in Vegetables Seeds Product Supply organization.
Work closely with data engineers to build automation jobs and cloud-based pipelines for product supply projects.
Demonstrate in-depth knowledge of data science tools and techniques to identify opportunities and develop data science products supporting organizational objectives and fulfill outcomes.
Build and maintain cloud-based applications for deploying data science projects.
Work closely with data engineers to build and maintain APIs for machine learning and data automation projects.
Partner with crop science data engineering teams to align platform usage.
Partner with digital transformation team to strategize and execute data integration and digital solutioning needs.
Align and communicate effectively with stakeholders cross regionally and functionally to align on data analytics requirements and solutioning needs to produce enterprise level dashboards and data science products.
Provide guidance, mentorship, and technical expertise to team members, fostering a collaborative and innovative work environment.
Key Working relations: Crop Teams Globally, Operations & Supply Teams globally, Digital & Process Excellence Teams, Data Engineers, Data Analytics Experts, Enterprise IT Teams, Enterprise Data Science Teams, Global SPI, Commercial CX D&A Team, CS Digital Strategy & Data Teams, Global CS Engineering & Technology Teams
Skills & Experience:
Master’s or Ph.D in Computer Science, Statistics, Mathematics, Data Science, or related field or bachelor's with minimum 5 years' experience.
Strong academic background in machine learning, AI, statistical modeling, and data analysis.
Familiarity with machine learning techniques such as kNN, SVM, tree-based methods.
Good knowledge of statistical skills, including hypothesis testing, probability distributions, maximum likelihood estimates, Bayesian techniques.
Proficiency in programming languages: R/Python, JavaScript, Java. Demonstrated expertise with deploying solutions on cloud platforms such as AWS/Azure/GCP.
Good understanding of DevOps principles and CI/CD pipelines. Familiarity with technologies such as Docker, Terraform, CloudFormation, GH Actions, AWS Lambda, EC2, ECS etc.
Application and API development experience using technologies such as ReactJS, Shiny, NodeJS and FastAPI.
Strong communication and stakeholder mgmt. skills to ensure business advise and influence at all levels across the organization.
Professional knowledge on tools used within Vegetables Organization: Google Big Query, Tibco Spotfire, Tableau, Business Objects and preferably at least one of the following IT systems and platforms: SAP, Salesforce, Power Automate.
Application Period: 18.09.2026 - 05.10.2026 Reference Code: 881866 Division: Crop Science Location: Spain : Cataluña : Barcelona Functional Area: Information Technology Position Grade: VS 1.2 Employment Type: Regular Work Time: Full Time Contact Us Address Telephone E-Mail Av. Baix Llobregat, 3, 08970 Sant Joan Despí,
Barcelona, Espanya
+34 93 495 69 99 talentacquisition@bayer.com
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Job details
How this role compares
Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.
We currently track 103 comparable Senior Biostatistics & Data Science roles across 28 biopharma companies.
Salary context
41 of 103 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 103 comparable roles
+ 8 more countries
Seniority mix
103 of 103 peers have a known seniority level
Therapeutic area mix
8 of 103 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
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How we calculate "similar"
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Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.