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.

Senior Data Scientist 

Key Responsibilities:

• Design and develop AI-driven systems with a focus on infrastructure observability and application performance monitoring (APM).
• Build intelligent agents capable of monitoring, analyzing, and optimizing system performance in real-time.
• Leverage A2A and MCP protocols to enable autonomous coordination between monitoring agents.
• Integrate AI models into observability stacks (e.g., Prometheus, Grafana, OpenTelemetry) to enhance system insights.
• Collaborate with DevOps, SREs, and platform teams to define performance metrics and thresholds.
• Develop predictive models for anomaly detection, root cause analysis, and capacity planning.
• Ensure high availability and reliability of AI monitoring solutions in production environments.
• Participate in Agile development and contribute to continuous improvement of observability practices.
• Document system architectures, monitoring strategies, and AI model behaviors.

Required Qualifications:

• Bachelor’s degree in Computer Science, AI, or a related field.
• Proven experience in AI/ML development with a focus on infrastructure or system monitoring.
• Strong programming skills in Python, Java, or Go, and familiarity with observability tools (e.g., Prometheus, Grafana, ELK, OpenTelemetry).
• Experience with cloud-native environments (Kubernetes, Docker) and cloud platforms (AWS, GCP, Azure).
• Understanding of APM concepts, telemetry data, and performance tuning.
• Ability to work collaboratively in cross-functional teams and communicate technical concepts clearly.

Preferred Qualifications:

• Experience with time-series data, anomaly detection, and real-time analytics.
• Familiarity with CI/CD, GitOps, and infrastructure-as-code (e.g., Terraform).
• Knowledge of ethical AI and responsible monitoring practices.

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
• Please send your CV in English

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

Location:

Poland : Mazowieckie : Warszawa  

Division:

Enabling Functions 

Reference Code:

849183