ppAt 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’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice. /p h3Data Scientist /h3 h3About The Role /h3 pAre you excited to own forecasting solutions from data extraction to production deployment? We're hiring a Senior Data Scientist for the Machine Learning Artificial Intelligence unit within Bayer's Enterprise Data Analytics Platform. /p pThis 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. You'll tackle unstructured problems independently and deliver measurable impact across Finance, Supply Chain, HR, Procurement, and Commercial Operations. /p pOur 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. /p h3Key Responsibilities /h3 h3End-to-End Solution Ownership /h3 ul liOwn the complete lifecycle from understanding business needs through production deployment, monitoring, and maintenance /li liBuild robust ETL/ELT pipelines on Databricks; clean, validate, and transform messy real-world data at scale /li liTransform loosely defined business questions into structured solutions independently—identifying data gaps, proposing approaches, and iterating based on feedback /li /ul h3Forecasting Modeling /h3 ul liDesign and deploy production-grade forecasting solutions using statistical models (ARIMA, ETS, BSTS) and ML approaches (XGBoost, LightGBM, neural networks) /li liEngineer sophisticated features:



lag features, rolling statistics, external signals, calendar effects, and domain-specific transformations /li liImplement forecast reconciliation and hierarchical aggregation for complex business structures /li liEstablish rigorous evaluation frameworks: backtesting, time series cross-validation, accuracy metrics, prediction intervals, and drift monitoring /li /ul h3Software Engineering Infrastructure /h3 ul liWrite production-grade Python and R code with modular architecture, comprehensive testing, error handling, and documentation /li liBuild and maintain sophisticated R Shiny applications with integrated JavaScript components /li liOrchestrate ML pipelines using Kubeflow for automated training, validation, deployment, experiment tracking, and model versioning /li liManage infrastructure as code: Databricks workspaces, Azure resources, CI/CD pipelines (GitHub Actions, Azure DevOps), containerization, and secrets management /li /ul h3Analysis, Debugging Monitoring /h3 ul liTroubleshoot complex issues across the full stack: data pipeline failures, model degradation, API errors, and integration problems /li liImplement continuous monitoring: automated data quality checks, feature drift detection, performance tracking, and alerting systems /li liConduct root cause analysis of forecast errors, identify data anomalies, validate business logic, and communicate findings clearly /li /ul h3Required Qualifications /h3 h3Technical Foundation /h3 ul liEducation Experience:Master's or PhD with 3+ years delivering end-to-end data science solutions in production /li liProgramming:Strong Python, R and SQL proficiency /li liForecasting Expertise:Time series decomposition, seasonality, trend analysis, ensemble methods, probabilistic forecasting, hierarchical reconciliation /li liData Engineering:Databricks/Spark/PySpark, Delta Lake, ETL/ELT design, job orchestration, performance tuning /li liKNIME:Building analytical workflows, data preprocessing, model pipelines,



and system integration /li /ul h3End‑to‑End Capabilities /h3 ul liMLOps:Kubeflow pipeline orchestration, experiment tracking, model registry, automated deployment /li liSoftware Engineering:Git workflows, code reviews, testing frameworks (pytest, testthat), modular design, documentation /li liApplication Development:Build RESTful APIs and R Shiny applications from scratch; handle authentication, deployment, and optimization /li liCloud Infrastructure:Azure services (Databricks, Blob Storage, Data Factory, Key Vault, Functions), container orchestration, CI/CD /li /ul h3Essential Soft Skills /h3 ul liAutonomy:Self‑starter who can take vague requirements and independently drive projects from concept to production /li liProblem‑Solving:Systematic debugging across the full stack—from source data to infrastructure /li liBusiness Acumen:Translate business needs into technical solutions; understand when "good enough" beats "perfect" /li liCommunication:Present technical work clearly to non-technical audiences; influence decisions with data; write comprehensive documentation /li liCollaboration:Work effectively with cross-functional teams while maintaining end-to-end ownership /li /ul h3Preferred (Not Required) /h3 ul liSAP HANA/BW experience, advanced Kubeflow capabilities, Terraform, Kubernetes, PowerBI/Tableau integration, data governance frameworks, multilingual capability /li /ul h3Language Requirement: /h3 ul liFluent in English (written and spoken); additional languages from our team regions are a plus. /li /ul h3YOUR APPLICATION /h3 pThis is your opportunity to tackle the world’s biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer. /p pBayer 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 h3Location: /h3 pSpain : Cataluña : Barcelona /p h3Division: /h3 pEnabling Functions /p h3Reference Code: /h3 /p #J-18808-Ljbffr

📌 Data Scientist (Barcelona)
🏢 Bayer
📍 Barcelona