Senior Data Scientist (Warszawa, Mazowieckie, PL)

At 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.

Senior Data Scientist

For Digital Hub Warsaw, we are looking for:

Senior Data Scientist

Are you excited to turn complex business questions into measurable impact? We are hiring a Senior Data Scientist for the Machine Learning & Artificial Intelligence unit within Bayer’s Enterprise Data & Analytics Platform. You will combine generative AI with classical machine learning, lead rigorous experimentation and evaluation, and communicate clear, actionable insights to stakeholders- delivering high-impact AI solutions across Finance, Supply Chain, HR, Procurement, Legal, and Communications. Our international team spans Poland, Germany, Spain, and India. We work with LLMs and embeddings, classical ML, and optimization on a modern, cloud-native stack (Python, AWS, Azure, Databricks). If solving business problems with analytical rigor and applying cutting-edge machine learning and GenAI techniques excites you, this is the place.

At Bayer, we are committed to transparency, equal pay for equal work or work of equal value, and objective reward practices in line with EU and local regulations. The minimum monthly gross compensation for this role is 20 240 PLN, with final pay determined based on objective factors such as experience, qualifications, scope of responsibility, and internal alignment.

This position is eligible for variable pay components, such as performance based bonuses, awarded in accordance with the applicable employee group, role scope, and compensation structure.

Your Tasks & Responsibilities:

Translate business needs into data science problems; define hypotheses, success metrics, and evaluation plans; communicate progress and outcomes to stakeholders.

Design, build, and evaluate (Gen)AI solutions for enterprise data, including:

LLMs and AgenticAI; including prompt/chain design, tool use, and lightweight agent workflows (LangChain, LangGraph, PydanticAI

Classical ML models (classification, regression, forecasting, clustering), feature pipelines, and explainability (e.g., SHAP

RAG pipelines and vector search for knowledge use cases

Establish rigorous evaluation: offline metrics, human-in-the-loop reviews, rubric-based GenAI assessments, groundedness/hallucination checks, and online tests (A/B or interleaving).

Implement production-ready Python code with high-quality engineering standards: Git-based workflows, code reviews, automated tests, documentation, and reproducibility.

Ensure monitoring and traceability: data/feature drift checks, model and prompt versioning, cost/latency tracking, and structured logging.

Partner cross-functionally with Product, Data Engineers, AI Engineers, and Business stakeholders to drive adoption for high outcome, production-grade AI solutions

Champion problem-solving and analytical rigor; lead workshops, stakeholder demos, and clear storytelling around insights, risks, and trade-offs.

Qualifications & Competencies (education, skills, experience):

Master’s or PhD with 5+ years in Data Science or Applied ML, delivering production-impact solutions.

Strong Python and SQL skills; expertise with standard data science libraries: pandas, NumPy, scikit-learn; experience with PyTorch or TensorFlow is a plus.

Hands-on with Generative AI: embeddings, prompt engineering, tool/function calling, and agent frameworks (LangChain, LangGraph, PydanticAI); experience with vector databases (pgvector and others).

Solid grounding in classical ML: model selection, validation, and metrics (e.g., AUC/F1/RMSE); time series or forecasting experience is a plus.

Evaluation focus: design and run offline/online tests, rubric-based GenAI evaluation, safety checks, and error analysis; familiarity with LangSmith/Langfuse or similar is beneficial.

Clear stakeholder communication: requirements gathering, expectation setting, storytelling, and influencing decisions with data.

Proven problem-solving skills: structuring ambiguous problems, hypothesis-driven analysis, and iterative experimentation.

Basic cloud proficiency (AWS and/or Azure): storage and compute (e.g., S3/Blob, Lambda/Functions or containers), secrets, and Databricks or Spark; awareness of CI/CD (e.g., GitHub Actions).

Good engineering hygiene: modular code, testing, documentation, and reproducibility.

Data governance and privacy awareness.

Fluent in English (written and spoken); additional languages from our team regions are a plus.

In addition, Bayer offers a competitive and holistic benefits package, including:

Medical care above statutory requirements

Flexible benefits supporting leisure, and well being/sports programs

Life, accident, and disability insurance through group coverage

Employer supported pension plans with regular company contributions

Home office allowance to support hybrid or remote work

Extra Paid Holidays

Benefits may vary depending on country, role, and employment conditions.

You feel you do not meet all criteria we are looking for? That doesn't mean you aren't the right fit for the role. Apply with confidence, we value potential over perfection.

WORK LOCATION: WARSAW AL.JEROZOLIMSKIE 158

YOUR APPLICATION       Bayer 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.

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

Bayer offers the possibility of working in a hybrid model. We know how important work-life balance is, so our employees can work from home, from the office or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager.

Bayer respects and applies the Whistleblower Act in Poland.

Location: Poland : Mazowieckie : Warszawa      Division: Enterprise Data & Analytics

Reference Code: 870138

Location:

Poland : Mazowieckie : Warszawa

Division:

Enterprise Data & Analytics

Reference Code:

870138

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