Senior Data Scientist
Data
Senior Data Scientist
Bayer Sp. z o.o.
Łódź
Type of work
Undetermined
Experience
Senior
Employment Type
Permanent
Operating mode
Office
Bayer Sp. z o.o.
Digital Hub Warsaw - here the best and most creative minds work in a diverse and inclusive environment on groundbreaking solutions that support Bayer's vision of "health for all - hunger for none." We create digital solutions that change the future.
Tech stack
Python
Job description
Online interview
You will be responsible for:
- Creates effective smart document management solutions by leveraging industry-leading automation products and enhancing those with custom ML models where needed
- Integrates NLP solutions into broader automation processes by combining NLP models with RPA, workflows and end-user apps, enabling usability and easy adoption of holistic automation products by the business.
- Drives the evolution, scaling and industrialization of respective smart document management products.
- Solves 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
- 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 challenges, 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.
- Broad understanding and experience in business process automation, in particular RPA solutions like UiPath or BluePrism
- Hands-on expertise in intelligent automation use cases, e.g. automating document processing
- Customer-centric mindset, driving a solution until its well-perceived adoption by the customer
- Broad understanding of NLP & NLU techniques (e.g. NER, Sentiment Analysis, Text Summarization, Topic Modeling, Semantic Parsing) and their 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).
- 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.