At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

Roche has established the Global Analytics and Technology Center of Excellence (GATE) to drive analytics- and technology-driven solutions by partnering with Roche affiliates across the globe.

As a Data Scientist, you will be at the forefront of designing, building, and maintaining scalable machine learning systems within Roche’s dynamic data ecosystem. This is your opportunity to make a meaningful impact by operationalizing cutting-edge models that drive better healthcare and business outcomes. In this high-impact role, you will collaborate with data scientists, engineers, and business leaders to build production-grade infrastructures, enabling seamless machine learning processes while tackling challenges to ensure our ML models are production-ready, monitored effectively, and continuously optimized.

The Opportunity

ML Infrastructure and Pipeline Development: Build the backbone of AI innovation.

• Develop scalable, production-grade machine learning pipelines for streamlined data ingestion, model training, and inference.
• Automate end-to-end workflows for data preprocessing, feature engineering, and model retraining to maximize efficiency.
• Ensure a seamless transition from experimental models to operational production setups in collaboration with data scientists.
• Build reusable frameworks and tools to standardize and fast-track machine learning development cycles.

Model Deployment and Monitoring: Ensure reliability in real-world environments.

• Deploy robust ML models in production environments leveraging state-of-the-art cloud services (Proficiency in AWS preferred).
• Implement monitoring systems to stay ahead of data drift, model decay, and performance fluctuations.
• Engineer systems for scalable, reliable, and highly available deployed models with quickly actionable alert mechanisms.

Collaboration and Impact: Be the driver of transformation.

• Collaborate with data scientists, product managers, IT teams, and business stakeholders to transform abstract requirements into scalable machine learning solutions.
• Lead MLOps initiatives end-to-end—designing, deploying, and monitoring infrastructure.
• Advocate engineering excellence as a mentor for best practices in CI/CD, version control, and automated testing.
• Shape Roche's AI/ML roadmap by creating infrastructure that bridges traditional machine learning models and cutting-edge generative AI.

Emerging AI Solutions: Push the boundaries.

• Partner with research teams to integrate Generative AI into current workflows and production pipelines.
• Experiment with cutting-edge technologies like prompt engineering with Large Language Models (LLMs) to expand automation possibilities and enhance explainability.
• Foster the adoption of orchestration tools like Kubeflow, Airflow, or MLflow for comprehensive model lifecycle management.

Leadership and Governance: Empower teams while building responsibly.

• Communicate complex technical concepts into actionable business strategies that address stakeholder pain points and priorities.
• Mentor junior engineers, fostering growth and technical confidence within the team.
• Advocate for ethical AI implementation and data privacy adherence, ensuring that Roche remains a leader in ethical innovation.
• Promote excellence in coding, machine learning workflows, and project delivery across data science teams.

Who You Are

You are passionate about leveraging machine learning and advanced analytics to solve real-world challenges, and you have a proven track record of making meaningful contributions to end-to-end machine learning deployment.

What You Bring

• Experience:

  • 4+ years of hands-on experience in Machine Learning Engineering, Data Engineering, or MLOps.
  • Proven expertise in designing scalable and production-grade ML systems, deploying supervised/unsupervised models, and working with NLP techniques.
  • Practical knowledge of large-scale distributed data processing frameworks.

• Technical Skills:

  • Advanced proficiency in Python, PySpark, and SQL for ML workflows.
  • Knowledge of popular ML libraries such as Scikit-learn, Spark MLlib, TensorFlow, PyTorch, and MLflow.
  • Real-world experience with cloud platforms (AWS preferred; familiarity with GCP or Azure is a bonus).
  • Expertise in CI/CD tools (e.g., GitHub Actions, Jenkins) and containerization technologies (e.g., Docker, Kubernetes).
  • Proficiency in deploying and scaling ML models using AWS services, such as S3, SageMaker, Lambda, and others.

Nice-to-Have:

• Familiarity with orchestration tools like Kubeflow, Airflow, or Prefect for creating fluid ML pipelines.
• Hands-on experience with Generative AI, especially Large Language Models and transformer-based architectures.
• An appreciation for data governance, security, and ensuring ethical AI processing in production environments.

Education:

• A Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or equivalent fields.
• Certifications in MLOps, AWS Cloud, or Data Engineering are highly desirable.

Note: This job description is intended as a general guideline for the responsibilities and qualifications required for this position. It is not an exhaustive list, and responsibilities may evolve and change based on business needs.

Relocation benefits are not available for this job posting.

Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.