10 of 10 Remote Shiny Jobs

Data Services, Fabric, Synapse, or related cloud technologies is highly desirable. Proven ability to create interactive data visualizations using tools like Plotly/Dash, Shiny, Tableau, or Power BI. Experience in developing web applications for data insights using JavaScript, CSS, or similar frameworks is a plus. Knowledge of Generative More ❯

munging, data and feature engineering, and predictive analytics. Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js to communicate findings and relate them back to how your insights create business impact. Experience with cloud-based ETL solutions (e.g., AWS More ❯

of data scientist experience - Experience with statistical models e.g. multinomial logistic regression PREFERRED QUALIFICATIONS - 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience - Experience managing data pipelines - Experience as a leader and mentor on a data science team - Experience with data scripting languages (e.g., SQL More ❯

additional backend technologies (e.g., Python , MongoDB , Redis , Docker , OCI ) is a plus. Experience in marketing analytics, R/Python data science libraries, or deploying RShiny apps is a bonus. If you have the desired skills and experience and would like to find out more please apply to this advert by More ❯

additional backend technologies (e.g., Python , MongoDB , Redis , Docker , OCI ) is a plus. Experience in marketing analytics, R/Python data science libraries, or deploying RShiny apps is a bonus. If you have the desired skills and experience and would like to find out more please apply to this advert by More ❯

Updated: April 10, 2025 Location: United Kingdom-Europe - GBR-Home-Based Job ID: Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to More ❯

of simulations and sampling techniques such as Monte Carlo, Latin Hypercube, Markov Chain, etc. Knowledge of programming languages and tools such as Python, R, Shiny, and Jupyter Notebooks. Provide professional and scientific expertise in performance of work requiring knowledge and application of mathematics, statistical analysis, modeling/simulation, and More ❯

Programming (ideally in the context of package development). Git and general code-management/documentation practices. Continuous improvement and continuous delivery practices. R Shiny & R Markdown. In addition, you may have experience of some of the following: Automated build and deployment pipelines. Automated test frameworks. Accessing external APIs More ❯

Programming (ideally in the context of package development). Git and general code-management/documentation practices. Continuous improvement and continuous delivery practices. R Shiny & R Markdown. In addition, you may have experience of some of the following: Automated build and deployment pipelines. Automated test frameworks. Accessing external APIs More ❯

Programming (ideally in the context of package development). Git and general code-management/documentation practices. Continuous improvement and continuous delivery practices. R Shiny & R Markdown. In addition, you may have experience of some of the following: Automated build and deployment pipelines. Automated test frameworks. Accessing external APIs More ❯