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For Digital Hub Warsaw, we are looking for:
Data Scientist
Are you ready to make a significant impact in the world of data science and AI agents? We are seeking a talented Data Scientist to become a vital part of our dynamic Data Assets, Analytics and AI Platform at Bayer Consumer Health. In this role, you will play a pivotal role in implementing global, cutting-edge AI solutions across commercial, product supply, marketing, and R&D domains.
Our diverse, international team, spanning Poland and Germany, is dedicated to managing the entire product life cycle – from proof of concept to the seamless operation of fully industrialized products. We pride ourselves on delivering innovative solutions that leverage traditional Machine Learning, Generative AI, and Mathematical Optimization, all powered by a modern tech stack featuring Python, Azure/AWS and Databricks.
If you’re passionate about driving data-driven decision-making and AI driven process automation and eager to collaborate with a forward-thinking team, we want to hear from you!
Key Tasks & Responsibilities:
- Creates, employs, evaluates, optimizes, and maintains generative AI, machine learning, time series forecasting, mathematical optimization, simulation, and NLP models and workflows that deliver actionable insights and meet business objectives.
- Participates in the development, delivery, and maintenance of a Generative AI Platform by implementing and proposing new features, designing evaluation experiments, and researching the latest advancements in the GenAI field.
- Extracts valuable information from large structured and unstructured datasets, identifying key variables and metrics that influence consumer behavior, commercial activities, product supply, R&D and RMSQC.
- Builds prototypes to prove modeling concepts.
- Industrializes and scales up successful advanced analytics prototypes into IT products.
- Creates intuitive and interactive data visualizations, reporting tools and dashboards to communicate complex analytical findings to technical and non-technical stakeholders as well as enable scenario creation and management.
- Develops generalized frameworks and libraries for repetitive data science activities.
- Participates in exploratory projects that investigate new data sources, tools, and analytical techniques, keeping Bayer at the forefront of data science in the consumer health sector.
- Builds data processing pipelines, analyzes data used for modelling and performs other data related activities if required.
- Manages code in Github repositories and performs peer code reviews.
- Fosters a culture of continuous learning within the data science team, taking active part in workshops and training sessions to share knowledge and skills.
- Presents compelling data driven stories to all levels of the organization, including peers, senior management, and internal customers to drive both strategic and operational changes in the business.
- Acts as a subject matter expert in data science, advising on best practices and emerging technologies that can enhance Bayer Consumer Health’s data science capabilities.
Requirements:
- MSc in Computer Science, Machine Learning, Statistics, Mathematics, Quantitative Finance/Economics/Marketing, or a related discipline.
- 3+ years of experience in data-related roles.
- Reach practical experience in at least one, preferably two, of the following areas: machine learning, generative AI, forecasting, or mathematical optimization.
- Proficiency in Python and SQL.
- Experience in using a version control system.
- Familiarity with generative AI, e.g. understanding of the technology, its strengths and weaknesses, application areas, prompt engineering, context engineering.
- Ability to write production grade code using object-oriented programming paradigm.
- Experience scaling products from initial concept to production.
- Solid experience with data science frameworks such Pandas, NumPy, Scikit-learn, Spark.
- Experience with cloud computing platforms, specifically Azure or AWS.
- Solid experience in data analysis, debugging, experiment design, and evaluation.
- Strong problem-solving and analytical skills.
- Interpersonal and communication skills, active listening, consulting, challenging, presentation skills.
- Ability to work independently on advanced analytics IT products.
- Fluent in English, both written & spoken.
- Experience with generative AI models and applications.
- Experience with AI solutions such as Vector Stores, Apache Spark, PyTorch, LangChain, LangGraph, and Retrieval-Augmented Generation (RAG).
- Familiarity with Databricks.
- A flexible, hybrid work model
- Great workplace in a new modern office in Warsaw
- Career development, 360° Feedback & Mentoring programme
- Wide access to professional development tools, trainings, & conferences
- Company Bonus & Reward Structure
- VIP Medical Care Package (including Dental & Mental health)
- Holiday allowance (“Wczasy pod gruszą”)
- Life & Travel Insurance
- Pension plan
- Co-financed sport card - FitProfit
- Meals Subsidy in Office
- Additional days off
- Budget for Home Office Setup & Maintenance
- Dedicated working Zone with state-of-the art Lab available only for Cyber Security Team
- Access to Company Game Room equipped with table tennis, soccer table, Sony PlayStation 5 and Xbox Series X consoles setup with premium game passes, and massage chairs
- Tailored-made support in relocation to Warsaw when needed
- Please send your CV in English
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: Enabling Functions
Reference Code: 855345
Key Skills
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