3 Tidyr Jobs

About the Role: We are seeking a skilled and versatile Data Scientist/Software Developer with a strong background in R programming and Shiny app development. This role will involve working on a variety of projects, each with defined objectives and timelines. Successful candidates will be comfortable in a dynamic environment, adapting to different datasets, analytical requirements, and business needs. You will be a key contributor to translating data into actionable insights through the development of robust and user-friendly Shiny applications. Responsibilities: Develop Interactive Shiny Applications: Design, develop, test, and deploy interactive web applications using the R Shiny framework. Focus on creating user-friendly interfaces that effectively present data analysis and insights. R Programming: Utilize strong R programming skills to perform data cleaning, manipulation, analysis, and visualization. This includes implementing statistical models, data mining techniques, and machine learning algorithms as needed. SQL Database Interaction: Write efficient SQL queries to extract, transform, and load data from relational databases. Ensure data integrity and optimal performance for application use. Data Understanding and Interpretation: Work closely with stakeholders to understand their requirements and translate them into robust analytical solutions. Interpret data insights and communicate findings effectively. Code Documentation and Best Practices: Write clean, well-documented, and maintainable code. Adhere to software development best practices, including version control and testing methodologies. Project Management: Manage your time effectively across multiple shorter-term projects. Work independently while keeping stakeholders updated on progress and issues. Problem Solving: Ability to understand business problems and develop data-driven solutions and develop novel approaches, if needed. Collaboration: Work collaboratively with other data scientists, analysts, and business teams as needed. Required Skills & Qualifications: Expertise in R Programming: Proven experience in using R for data manipulation, statistical analysis, and visualization. Minimum of 3-5 years of experience in a relevant technical role. Shiny App Development: Strong understanding and practical experience in developing interactive dashboards and applications using R Shiny. Minimum of 3-5 years of experience in a relevant technical role. SQL Proficiency: Ability to write and optimize SQL queries to interact with relational databases (e.g., PostgreSQL, MySQL, SQL Server). Data Analysis Skills: Ability to perform exploratory data analysis, apply statistical methods, and interpret results. Problem-Solving Aptitude: Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions. Communication Skills: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical audiences. Experience with Version Control: Familiarity with Git and GitHub or similar version control systems. Adaptability: Ability to manage multiple projects concurrently and adapt to changing priorities. Remote work: Comfortable working remotely and communicating regularly. Preferred Skills: Experience with other R packages relevant to data analysis and visualization (e.g., dplyr, ggplot2, tidyr). Knowledge of basic statistical modeling and machine learning techniques Experience with cloud-based data environments (e.g., AWS, Google Cloud, Azure). Familiarity with deployment of shiny apps. Understanding of data security practices. Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad.

R Programming Language / Shiny App Developer (Data Scientist/Software Developer) About the Role: We are seeking a skilled and versatile Data Scientist/Software Developer with a strong background in R programming and Shiny app development. This role will involve working on a variety of projects, each with defined objectives and timelines. Successful candidates will be comfortable in a dynamic environment, adapting to different datasets, analytical requirements, and business needs. You will be a key contributor to translating data into actionable insights through the development of robust and user-friendly Shiny applications. Responsibilities: Develop Interactive Shiny Applications: Design, develop, test, and deploy interactive web applications using the R Shiny framework. Focus on creating user-friendly interfaces that effectively present data analysis and insights. R Programming: Utilize strong R programming skills to perform data cleaning, manipulation, analysis, and visualization. This includes implementing statistical models, data mining techniques, and machine learning algorithms as needed. SQL Database Interaction: Write efficient SQL queries to extract, transform, and load data from relational databases. Ensure data integrity and optimal performance for application use. Data Understanding and Interpretation: Work closely with stakeholders to understand their requirements and translate them into robust analytical solutions. Interpret data insights and communicate findings effectively. Code Documentation and Best Practices: Write clean, well-documented, and maintainable code. Adhere to software development best practices, including version control and testing methodologies. Project Management: Manage your time effectively across multiple shorter-term projects. Work independently while keeping stakeholders updated on progress and issues. Problem Solving: Ability to understand business problems and develop data-driven solutions and develop novel approaches, if needed. Collaboration: Work collaboratively with other data scientists, analysts, and business teams as needed. Required Skills & Qualifications: Expertise in R Programming: Proven experience in using R for data manipulation, statistical analysis, and visualization. Minimum of 3-5 years of experience in a relevant technical role. Shiny App Development: Strong understanding and practical experience in developing interactive dashboards and applications using R Shiny. Minimum of 3-5 years of experience in a relevant technical role. SQL Proficiency: Ability to write and optimize SQL queries to interact with relational databases (e.g., PostgreSQL, MySQL, SQL Server). Data Analysis Skills: Ability to perform exploratory data analysis, apply statistical methods, and interpret results. Problem-Solving Aptitude: Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions. Communication Skills: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical audiences. Experience with Version Control: Familiarity with Git and GitHub or similar version control systems. Adaptability: Ability to manage multiple projects concurrently and adapt to changing priorities. Remote work: Comfortable working remotely and communicating regularly. Preferred Skills: Experience with other R packages relevant to data analysis and visualization (e.g., dplyr, ggplot2, tidyr). Knowledge of basic statistical modeling and machine learning techniques Experience with cloud-based data environments (e.g., AWS, Google Cloud, Azure). Familiarity with deployment of shiny apps. Understanding of data security practices. Location : - Remote

R Programming Language / Shiny App Developer (Data Scientist/Software Developer) About the Role: We are seeking a skilled and versatile Data Scientist/Software Developer with a strong background in R programming and Shiny app development. This role will involve working on a variety of projects, each with defined objectives and timelines. Successful candidates will be comfortable in a dynamic environment, adapting to different datasets, analytical requirements, and business needs. You will be a key contributor to translating data into actionable insights through the development of robust and user-friendly Shiny applications. Responsibilities: Develop Interactive Shiny Applications: Design, develop, test, and deploy interactive web applications using the R Shiny framework. Focus on creating user-friendly interfaces that effectively present data analysis and insights. R Programming: Utilize strong R programming skills to perform data cleaning, manipulation, analysis, and visualization. This includes implementing statistical models, data mining techniques, and machine learning algorithms as needed. SQL Database Interaction: Write efficient SQL queries to extract, transform, and load data from relational databases. Ensure data integrity and optimal performance for application use. Data Understanding and Interpretation: Work closely with stakeholders to understand their requirements and translate them into robust analytical solutions. Interpret data insights and communicate findings effectively. Code Documentation and Best Practices: Write clean, well-documented, and maintainable code. Adhere to software development best practices, including version control and testing methodologies. Project Management: Manage your time effectively across multiple shorter-term projects. Work independently while keeping stakeholders updated on progress and issues. Problem Solving: Ability to understand business problems and develop data-driven solutions and develop novel approaches, if needed. Collaboration: Work collaboratively with other data scientists, analysts, and business teams as needed. Required Skills & Qualifications: Expertise in R Programming: Proven experience in using R for data manipulation, statistical analysis, and visualization. Minimum of 3-5 years of experience in a relevant technical role. Shiny App Development: Strong understanding and practical experience in developing interactive dashboards and applications using R Shiny. Minimum of 3-5 years of experience in a relevant technical role. SQL Proficiency: Ability to write and optimize SQL queries to interact with relational databases (e.g., PostgreSQL, MySQL, SQL Server). Data Analysis Skills: Ability to perform exploratory data analysis, apply statistical methods, and interpret results. Problem-Solving Aptitude: Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions. Communication Skills: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical audiences. Experience with Version Control: Familiarity with Git and GitHub or similar version control systems. Adaptability: Ability to manage multiple projects concurrently and adapt to changing priorities. Remote work: Comfortable working remotely and communicating regularly. Preferred Skills: Experience with other R packages relevant to data analysis and visualization (e.g., dplyr, ggplot2, tidyr). Knowledge of basic statistical modeling and machine learning techniques Experience with cloud-based data environments (e.g., AWS, Google Cloud, Azure). Familiarity with deployment of shiny apps. Understanding of data security practices. Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad