Lead Data Scientist

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.

Lead Data Scientist

For Digital Hub Warsaw, we are looking for:

Lead Data Scientist

Are you ready to make a significant impact in the world of data science and AI agents? We are seeking a talented Lead 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 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 Agentic 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.
• Leads 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.
• Develops and train other members of the Data Science team.

Qualifications & Competencies (education, skills, experience):

• Master’s or PhD degree with 8+ years of experience in Data Science or related fields.
• Proven educational background or applied experience in at least one of the following: Machine Learning, Statistics, Mathematics, Computer Science, Quantitative Finance/Economics/Marketing, Biostatistics, Bioinformatics, or other related quantitative disciplines.
• Expert proficiency and practical experience in machine learning, generative AI, forecasting, and mathematical optimization.
• Expert knowledge of data science tools, libraries, frameworks, and platforms: Python, SQL, Vector Stores, Spark, Azure, Databricks, Github, LangChain, RAG, prompt and context engineering.
• Ability to write production grade code using object-oriented programming paradigm.
• Proven track record of developing advanced analytics products within a cloud environment and delivering valuable analysis through the application of domain and business knowledge.
• Ability to create architecture for advanced analytics products.
• Problem solving and analytical skills.
• Interpersonal and communication skills, active listening, consulting, challenges, presentation skills.
• Leadership, strategic and design thinking.
• Fluent in English, both written & spoken.

What do We offer:

• 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.
• 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.

Location:

Poland : Mazowieckie : Warszawa

Division:

CH

Reference Code:

850383