Data Scientist
CZE - Central Bohemian - Prague (Five)CompetitiveHybridFull time0 applicants
About this role
Job Description
We are seeking a hands-on, technically strong
Data Scientist in Prague
to accelerate the adoption of our data science platforms and AI/ML solutions. At our company, we are at the forefront of research to deliver innovative health solutions that advance the prevention and treatment of diseases in people and animals. In this role, you will combine deep technical expertise with consultative engagement, training, and enablement to help analytics teams move from prototypes to production. Join us and be a customer-facing champion for best practices in data science and ML lifecycle management.
Responsibilities
- Drive product adoption and value realization by partnering with business stakeholders, data scientists, ML engineers, and IT
- Develop and execute adoption plans and success metrics for
- Databricks
- , Dataiku, and other data science tools
- Identify and prioritize adoption opportunities and escalations to maximize impact
- Build, review, and optimize end-to-end ML pipelines using Databricks, Dataiku, and Python
- Implement MLOps practices including CI/CD for ML, model versioning, monitoring, and automated deployment
- Design and deliver workshops, training sessions, and webinars for technical and non-technical audiences
- Produce clear documentation, how-to guides, and best practice playbooks for common workflows
- Work with product managers, platform engineers, and security/compliance teams to ensure governed, scalable adoption
Requirements
- 5+ years of hands-on experience in data science, machine learning, or MLOps roles with proven experience shipping models to production
- Deep experience with
- Databricks
- ,
- Python
- , and MLOps practices and tooling
- Strong understanding of the entire ML lifecycle including data ingestion, feature engineering, model training, validation, deployment, and monitoring
- Excellent communication and stakeholder management skills with experience delivering training and technical enablement to diverse audiences
Nice to have
- Prior experience in a product adoption, customer success, or technical enablement role within an enterprise environment
- Experience integrating data science platforms with data warehouses, data lakes, BI tools, and Dataiku
- Familiarity with data privacy, security, and regulatory requirements for ML systems
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Statistics, or a related quantitative field