15 of 15 Shiny Jobs

related to data architecture, data 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 Glue, Azure Data Factory). More ❯

in data or business analytics High level of competency with data science/analysis coding languages like SQL, Python, or R Experience developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, or d3.js Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics. Self-starter with the vision to independently identify opportunities More ❯

a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science 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 Amazon is an equal opportunity employer and does not discriminate on the More ❯

munging, data and feature engineering, and predictive analytics. Experience working with programming languages like SQL and python (SQL required, python preferred) Experience developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, and d3.js Self-starter with the vision to independently identify opportunities for improvement through data analytics. A true team player who maintains a positive attitude in a dynamic environment. More ❯

years of experience with different data consumption techniques from traditional to more advanced analytics and AI perspective. (Power BI, Tableau, Machine Learning, ) Power BI means more to you than shiny graphs (and pie charts). You are eager to dive into platforms like Azure Synapse, Azure Data Lake or Databricks. You have strong command of SQL & Python. You are More ❯

Science, Bioinformatics, Statistics, Mathematics, Pharmaceutical Sciences, or a related field Proven experience programming in R, including data manipulation, statistical modeling, and visualization (experience with packages such as ggplot2, dplyr, shiny, tidyr, etc.). Experience working in bioinformatics, pharmacometrics, or computational biology is a plus. Experience with relational databases (e.g., SQL) and knowledge of data integration practices. Ability to prioritize … statistical analysis and predictive modeling techniques. Familiarity with Git for version control and collaborative coding. Familiarity with machine learning approaches and data mining is an advantage. R programming, RStudio, Shiny, and related R libraries for analysis and visualization. Basic knowledge of Python and/or other programming languages (e.g., C++, Java) is a plus. Familiarity with cloud platforms, data More ❯

AWS Redshift, Databricks- delta Lake, Unity catalog, Data Engineering and processing using Databricks, AI and Machine Learning Amazon Bedrock, AWS Sagemaker, Unified Studio, R Studio/Posit Workbench, R Shiny/Posit Connect, Posit Package Manager, AWS Data Firehose, Kafka, Hive, Hue, Oozie, Sqoop, Git/Git Actions, IntelliJ, Scala Responsibilities of the Data Engineer (AWS): Act as an More ❯

/SCI + CI Poly - Bachelor's Degree (MS or PhD preferred) - Experience with Data Science, Statistics, Machine Learning, NLP, Predictive Analytics, or similar discipline - Experience with R/Shiny or Python Any of the following is beneficial: - Experience with SPSS, SAS, KNIME, RapidMiner, or Statistica - Experience with Matlab - Experience with SQL and Oracle - Experience with Java, Pig, or More ❯

/SCI + CI Poly - Bachelor's Degree (MS or PhD preferred) - Experience with Data Science, Statistics, Machine Learning, NLP, Predictive Analytics, or similar discipline - Experience with R/Shiny or Python Any of the following is beneficial: - Experience with SPSS, SAS, KNIME, RapidMiner, or Statistica - Experience with Matlab - Experience with SQL and Oracle - Experience with Java, Pig, or More ❯

/SCI + FS Poly - Bachelor's Degree (MS or PhD preferred) - Experience with Data Science, Statistics, Machine Learning, NLP, Predictive Analytics, or similar discipline - Experience with R/Shiny or Python Any of the following is beneficial: - Experience with SPSS, SAS, KNIME, RapidMiner, or Statistica - Experience with Matlab - Experience with SQL and Oracle - Experience with Java, Pig, or More ❯

/SCI + FS Poly - Bachelor's Degree (MS or PhD preferred) - Experience with Data Science, Statistics, Machine Learning, NLP, Predictive Analytics, or similar discipline - Experience with R/Shiny or Python Any of the following is beneficial: - Experience with SPSS, SAS, KNIME, RapidMiner, or Statistica - Experience with Matlab - Experience with SQL and Oracle - Experience with Java, Pig, or More ❯

/SCI + FS Poly - Bachelor's Degree (MS or PhD preferred) - Experience with Data Science, Statistics, Machine Learning, NLP, Predictive Analytics, or similar discipline - Experience with R/Shiny or Python Any of the following is beneficial: - Experience with SPSS, SAS, KNIME, RapidMiner, or Statistica - Experience with Matlab - Experience with SQL and Oracle - Experience with Java, Pig, or More ❯

sequence analysis concepts (alignment, assembly, QC) Experience with large-scale genomic data processing and public genomic repositories Ability to develop intuitive web-based reporting or visualization tools (e.g., R Shiny, Streamlit) Clean, maintainable, production-grade coding practices Preferred Qualifications: Experience developing performant software in a compiled language (C++, Rust, etc.) Interest in advanced data visualization and intuitive UX 1+ More ❯

role - Open to hiring in Canada or Europe where no sponsorship is required. Not open to hiring in the US. Description Sr. R Programmer (TEAL Module Development - R/RShiny) 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 address modern market More ❯

applications (e.g. PowerApps) into geospatial services Skilled in least one of the following to develop custom geospatial applications, including Esri APIs where relevant: Python, JavaScript, SQL, and R/Shiny Proficient in utilising Microsoft Azure services for cloud-based solutions (or similar) Successfully leading a small team to deliver technical tasks and geospatial services Customer focussed approach to quality More ❯