Senior Data Scientist

Digital Hub Warsaw at BayerWarszawa, Masovian, Poland

30+ days ago

Job description

about-project :

Are you ready to make a significant impact in the world of data science and AI agents? We are seeking a talented Senior 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!

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.

Act as technical lead for smaller AI initiatives.

requirements-expected :

MSc in Computer Science, Machine Learning, Statistics, Mathematics, Quantitative Finance / Economics / Marketing, or a related discipline.

5+ years of experience in data-related roles.

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.

Ability to propose methodologies of solving complex data science problems.

Fluent in English, both written & spoken.

offered :

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

benefits :

sharing the costs of sports activities

private medical care

sharing the costs of foreign language classes

sharing the costs of professional training & courses

life insurance

flexible working time

dental care

retirement pension plan

no dress code

video games at work

coffee / tea

parking space for employees

pre-paid cards

employee referral program

extra leave

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Senior Data Scientist • Warszawa, Masovian, Poland

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