Senior Data Scientist

Bayer Sp. z o.o.

Warszawa

Type of work

Undetermined

Experience

Senior

Employment Type

Permanent

Operating mode

Office

Tech stack

Python

master

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.