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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-Smart Document Management 


Why Bayer?

“Health for all and Hunger for none” is our mission at Bayer. Every day, we are privileged to  work on purposeful cutting-edge projects to bring our mission to life. Join us at Bayer to have a  career that you can put your passion into practice and make an impact using Science for a better  life.


For our newly established Digital Hub Warsaw, we are looking for:


Senior Data Scientist-  Smart Document Management



You will be responsible for:


  • Responsible for creating effective smart document management solutions that solve complex problems end-to-end by utilizing NLP (Natural Language Processing) & NLU (Natural Language Understanding).
  • Translates business requirements into experimental design and data acquisition requirements to gather the right (variety, volume, quality) data both internally and through third parties.
  • Keeps up to date on research and technology to discover insights and identify opportunities in smart document management.
  • Works globally, cross domain & cross technologies to support fast, small scale prototypes as well as driving the scaling and industrialization of respective smart document management products.
  • Creates opportunities for smart document management product development by identifying pain points in the business to improve efficiency and decision making and new data-driven business models.
  • Ensures a holistic approach and strategic fit of the solutions into the Bayer architecture by deciding on strategic decisions, e.g build vs. buy.
  • Delivers analytical reports and presents results to stakeholder and users.
  • Continuously learns and challenges the results through new techniques and experimental approaches.



We would expect from you:


  • Bachelors, Master’s or Ph.D. degree in statistics, applied mathematics, computer science/machine learning, physics, bioinformatics or a related field.
  • Deep and broad understanding of NLP & NLU techniques (e.g. NER, Sentiment Analysis, Text Summarization, Topic Modeling, Semantic Parsing) and the application for smart document management.
  • Expert knowledge in terms of classical and modern deep learning based NLP models like Word Embeddings (e.g. Word2Vec, GLoVe), Conditional Random Fields, Transformers-based (e.g. BERT or GPT families) or LSTM-based approaches (e.g. ELMo, ULMFiT).
  • Expert programming skills in either Python or Julia. Advanced know-how in terms of major DL frameworks (TensorFlow, PyTorch, or Flux).
  • Hands-on expertise in intelligent automation use cases, e.g. automating document processing
  • Advanced knowledge in terms of relational (SQL-type) databases. Experience with NoSQL databases (e.g. MongoDB) or big data infrastructure (hadoop, spark) beneficial.
  • Good knowledge of intelligent automation products in the smart document management space, e.g. from UiPath.
  • Intermediate know-how in terms of cloud infrastructure (AWS, Azure).
  • Experience with common data science toolkits and data visualization tools.
  • Understanding of IT architectures, especially inbuilding cohesive platforms for automation
  • Experience collaborating to achieve project objectives.
  • Good communication and presentation skills.
  • Fluent in English, both written and spoken.
  • Strong conceptual, quantitative, problem solving and decision-making skills.
  • Ability to work successfully with people from a variety of different cultures and backgrounds.



In the exchange we will offer you:


  • A flexible hybrid work model
  • Career development, 360° Feedback & Mentoring programme
  • Wide access to professional development tools, trainings, & conferences
  • Competitive salary, annual bonus & top performers awards
  • VIP Medical Care Package (including Dental & Mental health)
  • Pension plan
  • Holiday allowance (“Wczasy pod gruszą”)
  • Life & Travel Insurance
  • Co-financed sport card with unlimited usage
  • Meals Subsidy in Office
  • Home Office Setup & Maintenance allowance
  • New & exciting open office space coming in Spring ‘22




  Our inclusive culture at Bayer:


Bayer is an equal opportunity employer. We care about inclusion in terms of gender, age, race, skin color, nationality, religion, marital status, sexual orientation, background, physical or mental disabilities and on every other grounds. Applying for our position, we assure you that we will assess your application solely on the basis of your competencies.


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.

Location: Poland : Mazowieckie : Warszawa     
Division: Enabling Functions    
Reference Code: 526881     




Poland : Mazowieckie : Warszawa  



Enabling Functions 


Reference Code:


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