Job Description

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.

For Digital Hub Warsaw, we are looking for:

Associate 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 peers and internal customers to drive both strategic and operational changes in the business.

Qualifications & Competencies (education, skills, experience):

Requirements:

• Degree in Computer Science, Machine Learning, Statistics, Mathematics, Quantitative Finance/Economics/Marketing, or a related discipline.
• 2 years of experience in data-related roles with BSc degree, or 1 year of experience with MSc degree.
• Practical experience in at least one, preferably two, of the following areas: machine learning, generative AI, forecasting, or mathematical optimization.
• Proficiency in Python, SQL and prompt engineering.
• Experience with data science frameworks such as Pandas, NumPy, Scikit-learn.
• Some 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.
• Fluent in English, both written & spoken.

Nice to have:

• Experience with cloud computing platforms, specifically Azure and AWS, and familiarity with Databricks for data processing.
• Experience with AI solutions such as Vector Stores, Apache Spark, pytorch, LangChain, LangGraph, and Retrieval-Augmented Generation (RAG).

• Ability to write production grade code using object-oriented programming paradigm.

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
• Dedicated working Zone with state-of-the art Lab available only for Cyber Security Team

You feel you do not meet all criteria we are looking for? That doesn’t mean you aren’t the right fit for the role. Apply with confidence, we value potential over perfection

WORK LOCATION: WARSAW AL.JEROZOLIMSKIE 158

YOUR APPLICATION

This is your opportunity to tackle the world’s biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer.

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.

Location: ​​ ​ Poland : Mazowieckie : Warszawa​

​​ Division: ​ CH​

Reference Code: 855313