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
Required
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
Benefits
Exciting work in a great team, global projects, international environmentOpportunity to learn and grow professionally within the company globallyHybrid working model, flexible role patternPension and health (Canadian Medical) contributionsInternal reward system plus referral program5 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 contributionCafeteria for tax free benefits according to your choice (meal vouchers, sport, culture, health, travel, etc.), Multisport card, Vodafone, Raiffeisen Bank and Foodora discount programsUp-to-date laptop and iPhone, parking in the garage, showers, refreshmentsCompetitive salary, incentive pay, and many moreReady to take up the challenge? Apply now!Know anybody who might be interested? Refer this job!Required Skills:Preferred Skills:Current Employees apply HERECurrent Contingent Workers apply HERESearch Firm Representatives Please Read CarefullyEmployee Status:RegularRelocation:No relocationVISA SponsoHealth insurancePaid time offFlexible scheduleParental leave
Additional Information
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.
Merck · - Central Bohemian - Prague (five), Czechia