Data Scientist

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., * 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

• 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

Preferred

• 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, Artificial Intelligence (AI), Artificial Intelligence (AI), Automated Deployments, Business Intelligence (BI), CI/CD, Communication, Computer Science, Customer Success, Data Ingestion, Data Lake, Data Privacy, Data Science, Data Security, Data Warehouse, Employee Training, Machine Learning (ML), Machine Learning Operations, Model Deployment, Model Monitoring, Model Training, Model Validation, Model Versioning, Product Adoption, Python (Programming Language), Stakeholder Management {+ 11 more}, Valid Driving License

• Exciting work in a great team, global projects, international environment
• Opportunity to learn and grow professionally within the company globally
• Hybrid working model, flexible role pattern
• Pension and health (Canadian Medical) contributions
• Internal reward system plus referral program
• 5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution
• Cafeteria for tax free benefits according to your choice (meal vouchers, sport, culture, health, travel, etc.), Multisport card, Vodafone, Raiffeisen Bank and Foodora discount programs
• Up-to-date laptop and iPhone, parking in the garage, showers, refreshments
• Competitive salary, incentive pay, and many more

Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.