ph3Data Scientist /h3pAt Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where Health for all, Hunger for none is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. /ph3About the Role /h3pWe’re hiring a Senior Data Scientist for the Machine Learning Artificial Intelligence unit within Bayer's Enterprise Data Analytics Platform. This is not a pure modeling role; you will extract data from source systems, wrangle messy real-world data, build statistical and ML forecast models, engineer production pipelines, evaluate results, present insights to business stakeholders, develop interactive applications, and maintain the entire infrastructure. /ppYou’ll tackle unstructured problems independently and deliver measurable impact across Finance, Supply Chain, HR, Procurement, and Commercial Operations. /ppOur international team spans Poland, Germany, Spain, and India. We work with time series forecasting, statistical modeling, data engineering, and interactive analytics on a modern cloud-native stack. If you thrive on end-to-end ownership—from source systems to stakeholder dashboards—and enjoy solving ambiguous business problems with minimal guidance, we want to hear from you. /ph3Key Responsibilities /h3h3End-to-End Solution Ownership /h3ulliOwn the complete lifecycle from understanding business needs through production deployment, monitoring, and maintenance /liliBuild robust ETL/ELT pipelines on Databricks; clean, validate, and transform messy real-world data at scale /liliTransform loosely defined business questions into structured solutions independently—identifying data gaps, proposing approaches, and iterating based on feedback /li /ulh3Forecasting Modeling /h3ulliDesign and deploy production-grade forecasting solutions using statistical models (ARIMA, ETS, BSTS) and ML approaches (XGBoost, LightGBM, neural networks) /liliEngineer sophisticated features: lag features, rolling statistics, external signals, calendar effects,



and domain-specific transformations /liliImplement forecast reconciliation and hierarchical aggregation for complex business structures /liliEstablish rigorous evaluation frameworks: backtesting, time series cross-validation, accuracy metrics, prediction intervals, and drift monitoring /li /ulh3Software Engineering Infrastructure /h3ulliWrite production-grade Python and R code with modular architecture, comprehensive testing, error handling, and documentation /liliBuild and maintain sophisticated R Shiny applications with integrated JavaScript components /liliOrchestrate ML pipelines using Kubeflow for automated training, validation, deployment, experiment tracking, and model versioning /liliManage infrastructure as code: Databricks workspaces, Azure resources, CI/CD pipelines (GitHub Actions, Azure DevOps), containerization, and secrets management /li /ulh3Analysis, Debugging Monitoring /h3ulliTroubleshoot complex issues across the full stack: data pipeline failures, model degradation, API errors, and integration problems /liliImplement continuous monitoring: automated data quality checks, feature drift detection, performance tracking, and alerting systems /liliConduct root cause analysis of forecast errors, identify data anomalies, validate business logic, and communicate findings clearly /li /ulh3Required Qualifications /h3h3Technical Foundation /h3ulliEducation Experience: Master’s or PhD with 3+ years delivering end-to-end data science solutions in production /liliProgramming: Strong Python, R and SQL proficiency /liliForecasting Expertise: Time series decomposition, seasonality, trend analysis, ensemble methods, probabilistic forecasting, hierarchical reconciliation /liliData Engineering: Databricks/Spark/PySpark, Delta Lake, ETL/ELT design, job orchestration,



performance tuning /liliKNIME: Building analytical workflows, data preprocessing, model pipelines, and system integration /li /ulh3End-to-End Capabilities /h3ulliMLOps: Kubeflow pipeline orchestration, experiment tracking, model registry, automated deployment /liliSoftware Engineering: Git workflows, code reviews, testing frameworks (pytest, testthat), modular design, documentation /liliApplication Development: Build RESTful APIs and R Shiny applications from scratch; handle authentication, deployment, and optimization /liliCloud Infrastructure: Azure services (Databricks, Blob Storage, Data Factory, Key Vault, Functions), container orchestration, CI/CD /li /ulh3Essential Soft Skills /h3ulliAutonomy: Self-starter who can take vague requirements and independently drive projects from concept to production /liliProblem‑Solving: Systematic debugging across the full stack—from source data to infrastructure /liliBusiness Acumen: Translate business needs into technical solutions; understand when “good enough” beats “perfect” /liliCommunication: Present technical work clearly to non-technical audiences; influence decisions with data; write comprehensive documentation /liliCollaboration: Work effectively with cross-functional teams while maintaining end-to-end ownership /li /ulh3Preferred (Not Required) /h3ulliSAP HANA/BW experience, advanced Kubeflow capabilities, Terraform, Kubernetes, PowerBI/Tableau integration, data governance frameworks, multilingual capability /li /ulpLanguage Requirement: Fluent in English (written and spoken); additional languages from our team regions are a plus. /ppLocation: Spain – Cataluña – Barcelona /ppDivision: Enabling Functions /ppReference Code: /ppBayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination. /p /p #J-18808-Ljbffr

📌 Data Scientist (Barcelona)
🏢 Bayer CropScience
📍 Barcelona