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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** MSD - **Location:** Prague, OK, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Continuous Integration, Data Integration, Data Security, Data Warehousing, Monitoring of Systems, Python (Programming Language), Machine Learning, Feature Engineering, Data Ingestion, Model Validation, Data Lakes, Information Technology, Deployment Automation, Machine Learning Operations, Dataiku, Software Version Control, Databricks - **Published:** July 22, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/p6l8jagkwe ## About the Role * 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 ## 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., * 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 ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) ## Related Articles - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)